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<title>Extreme weather events do not increase political parties’ environmental attention</title>
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              toggleContainer.style.width = `${elRect.width}px`;
            };
            positionToggle();

            toggleContainer.append(toggleContents);
            el.parentElement.prepend(toggleContainer);

            // Process clicks
            let tocShowing = false;
            // Allow the caller to control whether this is dismissed
            // when it is clicked (e.g. sidebar navigation supports
            // opening and closing the nav tree, so don't dismiss on click)
            const clickEl = placeholderDescriptor.dismissOnClick
              ? toggleContainer
              : toggleTitle;

            const closeToggle = () => {
              if (tocShowing) {
                toggleContainer.classList.remove("expanded");
                toggleContents.style.height = "0px";
                tocShowing = false;
              }
            };

            // Get rid of any expanded toggle if the user scrolls
            window.document.addEventListener(
              "scroll",
              throttle(() => {
                closeToggle();
              }, 50)
            );

            // Handle positioning of the toggle
            window.addEventListener(
              "resize",
              throttle(() => {
                elRect = undefined;
                positionToggle();
              }, 50)
            );

            window.addEventListener("quarto-hrChanged", () => {
              elRect = undefined;
            });

            // Process the click
            clickEl.onclick = () => {
              if (!tocShowing) {
                toggleContainer.classList.add("expanded");
                toggleContents.style.height = null;
                tocShowing = true;
              } else {
                closeToggle();
              }
            };
          });
        };

        // Converts a sidebar from a menu back to a sidebar
        const convertToSidebar = () => {
          for (const child of el.children) {
            child.style.opacity = 1;
            child.style.overflow = null;
          }

          const placeholderEl = window.document.getElementById(
            placeholderDescriptor.id
          );
          if (placeholderEl) {
            placeholderEl.remove();
          }

          el.classList.remove("rollup");
        };

        if (isReaderMode()) {
          convertToMenu();
          isVisible = false;
        } else {
          // Find the top and bottom o the element that is being managed
          const elTop = el.offsetTop;
          const elBottom =
            elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;

          if (!isVisible) {
            // If the element is current not visible reveal if there are
            // no conflicts with overlay regions
            if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
              convertToSidebar();
              isVisible = true;
            }
          } else {
            // If the element is visible, hide it if it conflicts with overlay regions
            // and insert a placeholder toggle (or if we're in reader mode)
            if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
              convertToMenu();
              isVisible = false;
            }
          }
        }
      }
    };
  };

  const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]');
  for (const tabEl of tabEls) {
    const id = tabEl.getAttribute("data-bs-target");
    if (id) {
      const columnEl = document.querySelector(
        `${id} .column-margin, .tabset-margin-content`
      );
      if (columnEl)
        tabEl.addEventListener("shown.bs.tab", function (event) {
          const el = event.srcElement;
          if (el) {
            const visibleCls = `${el.id}-margin-content`;
            // walk up until we find a parent tabset
            let panelTabsetEl = el.parentElement;
            while (panelTabsetEl) {
              if (panelTabsetEl.classList.contains("panel-tabset")) {
                break;
              }
              panelTabsetEl = panelTabsetEl.parentElement;
            }

            if (panelTabsetEl) {
              const prevSib = panelTabsetEl.previousElementSibling;
              if (
                prevSib &&
                prevSib.classList.contains("tabset-margin-container")
              ) {
                const childNodes = prevSib.querySelectorAll(
                  ".tabset-margin-content"
                );
                for (const childEl of childNodes) {
                  if (childEl.classList.contains(visibleCls)) {
                    childEl.classList.remove("collapse");
                  } else {
                    childEl.classList.add("collapse");
                  }
                }
              }
            }
          }

          layoutMarginEls();
        });
    }
  }

  // Manage the visibility of the toc and the sidebar
  const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
    id: "quarto-toc-toggle",
    titleSelector: "#toc-title",
    dismissOnClick: true,
  });
  const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
    id: "quarto-sidebarnav-toggle",
    titleSelector: ".title",
    dismissOnClick: false,
  });
  let tocLeftScrollVisibility;
  if (leftTocEl) {
    tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
      id: "quarto-lefttoc-toggle",
      titleSelector: "#toc-title",
      dismissOnClick: true,
    });
  }

  // Find the first element that uses formatting in special columns
  const conflictingEls = window.document.body.querySelectorAll(
    '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
  );

  // Filter all the possibly conflicting elements into ones
  // the do conflict on the left or ride side
  const arrConflictingEls = Array.from(conflictingEls);
  const leftSideConflictEls = arrConflictingEls.filter((el) => {
    if (el.tagName === "ASIDE") {
      return false;
    }
    return Array.from(el.classList).find((className) => {
      return (
        className !== "column-body" &&
        className.startsWith("column-") &&
        !className.endsWith("right") &&
        !className.endsWith("container") &&
        className !== "column-margin"
      );
    });
  });
  const rightSideConflictEls = arrConflictingEls.filter((el) => {
    if (el.tagName === "ASIDE") {
      return true;
    }

    const hasMarginCaption = Array.from(el.classList).find((className) => {
      return className == "margin-caption";
    });
    if (hasMarginCaption) {
      return true;
    }

    return Array.from(el.classList).find((className) => {
      return (
        className !== "column-body" &&
        !className.endsWith("container") &&
        className.startsWith("column-") &&
        !className.endsWith("left")
      );
    });
  });

  const kOverlapPaddingSize = 10;
  function toRegions(els) {
    return els.map((el) => {
      const boundRect = el.getBoundingClientRect();
      const top =
        boundRect.top +
        document.documentElement.scrollTop -
        kOverlapPaddingSize;
      return {
        top,
        bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
      };
    });
  }

  let hasObserved = false;
  const visibleItemObserver = (els) => {
    let visibleElements = [...els];
    const intersectionObserver = new IntersectionObserver(
      (entries, _observer) => {
        entries.forEach((entry) => {
          if (entry.isIntersecting) {
            if (visibleElements.indexOf(entry.target) === -1) {
              visibleElements.push(entry.target);
            }
          } else {
            visibleElements = visibleElements.filter((visibleEntry) => {
              return visibleEntry !== entry;
            });
          }
        });

        if (!hasObserved) {
          hideOverlappedSidebars();
        }
        hasObserved = true;
      },
      {}
    );
    els.forEach((el) => {
      intersectionObserver.observe(el);
    });

    return {
      getVisibleEntries: () => {
        return visibleElements;
      },
    };
  };

  const rightElementObserver = visibleItemObserver(rightSideConflictEls);
  const leftElementObserver = visibleItemObserver(leftSideConflictEls);

  const hideOverlappedSidebars = () => {
    marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries()));
    sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries()));
    if (tocLeftScrollVisibility) {
      tocLeftScrollVisibility(
        toRegions(leftElementObserver.getVisibleEntries())
      );
    }
  };

  window.quartoToggleReader = () => {
    // Applies a slow class (or removes it)
    // to update the transition speed
    const slowTransition = (slow) => {
      const manageTransition = (id, slow) => {
        const el = document.getElementById(id);
        if (el) {
          if (slow) {
            el.classList.add("slow");
          } else {
            el.classList.remove("slow");
          }
        }
      };

      manageTransition("TOC", slow);
      manageTransition("quarto-sidebar", slow);
    };
    const readerMode = !isReaderMode();
    setReaderModeValue(readerMode);

    // If we're entering reader mode, slow the transition
    if (readerMode) {
      slowTransition(readerMode);
    }
    highlightReaderToggle(readerMode);
    hideOverlappedSidebars();

    // If we're exiting reader mode, restore the non-slow transition
    if (!readerMode) {
      slowTransition(!readerMode);
    }
  };

  const highlightReaderToggle = (readerMode) => {
    const els = document.querySelectorAll(".quarto-reader-toggle");
    if (els) {
      els.forEach((el) => {
        if (readerMode) {
          el.classList.add("reader");
        } else {
          el.classList.remove("reader");
        }
      });
    }
  };

  const setReaderModeValue = (val) => {
    if (window.location.protocol !== "file:") {
      window.localStorage.setItem("quarto-reader-mode", val);
    } else {
      localReaderMode = val;
    }
  };

  const isReaderMode = () => {
    if (window.location.protocol !== "file:") {
      return window.localStorage.getItem("quarto-reader-mode") === "true";
    } else {
      return localReaderMode;
    }
  };
  let localReaderMode = null;

  const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded");
  const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1;

  // Walk the TOC and collapse/expand nodes
  // Nodes are expanded if:
  // - they are top level
  // - they have children that are 'active' links
  // - they are directly below an link that is 'active'
  const walk = (el, depth) => {
    // Tick depth when we enter a UL
    if (el.tagName === "UL") {
      depth = depth + 1;
    }

    // It this is active link
    let isActiveNode = false;
    if (el.tagName === "A" && el.classList.contains("active")) {
      isActiveNode = true;
    }

    // See if there is an active child to this element
    let hasActiveChild = false;
    for (child of el.children) {
      hasActiveChild = walk(child, depth) || hasActiveChild;
    }

    // Process the collapse state if this is an UL
    if (el.tagName === "UL") {
      if (tocOpenDepth === -1 && depth > 1) {
        el.classList.add("collapse");
      } else if (
        depth <= tocOpenDepth ||
        hasActiveChild ||
        prevSiblingIsActiveLink(el)
      ) {
        el.classList.remove("collapse");
      } else {
        el.classList.add("collapse");
      }

      // untick depth when we leave a UL
      depth = depth - 1;
    }
    return hasActiveChild || isActiveNode;
  };

  // walk the TOC and expand / collapse any items that should be shown

  if (tocEl) {
    walk(tocEl, 0);
    updateActiveLink();
  }

  // Throttle the scroll event and walk peridiocally
  window.document.addEventListener(
    "scroll",
    throttle(() => {
      if (tocEl) {
        updateActiveLink();
        walk(tocEl, 0);
      }
      if (!isReaderMode()) {
        hideOverlappedSidebars();
      }
    }, 5)
  );
  window.addEventListener(
    "resize",
    throttle(() => {
      if (!isReaderMode()) {
        hideOverlappedSidebars();
      }
    }, 10)
  );
  hideOverlappedSidebars();
  highlightReaderToggle(isReaderMode());
});

// grouped tabsets
window.addEventListener("pageshow", (_event) => {
  function getTabSettings() {
    const data = localStorage.getItem("quarto-persistent-tabsets-data");
    if (!data) {
      localStorage.setItem("quarto-persistent-tabsets-data", "{}");
      return {};
    }
    if (data) {
      return JSON.parse(data);
    }
  }

  function setTabSettings(data) {
    localStorage.setItem(
      "quarto-persistent-tabsets-data",
      JSON.stringify(data)
    );
  }

  function setTabState(groupName, groupValue) {
    const data = getTabSettings();
    data[groupName] = groupValue;
    setTabSettings(data);
  }

  function toggleTab(tab, active) {
    const tabPanelId = tab.getAttribute("aria-controls");
    const tabPanel = document.getElementById(tabPanelId);
    if (active) {
      tab.classList.add("active");
      tabPanel.classList.add("active");
    } else {
      tab.classList.remove("active");
      tabPanel.classList.remove("active");
    }
  }

  function toggleAll(selectedGroup, selectorsToSync) {
    for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) {
      const active = selectedGroup === thisGroup;
      for (const tab of tabs) {
        toggleTab(tab, active);
      }
    }
  }

  function findSelectorsToSyncByLanguage() {
    const result = {};
    const tabs = Array.from(
      document.querySelectorAll(`div[data-group] a[id^='tabset-']`)
    );
    for (const item of tabs) {
      const div = item.parentElement.parentElement.parentElement;
      const group = div.getAttribute("data-group");
      if (!result[group]) {
        result[group] = {};
      }
      const selectorsToSync = result[group];
      const value = item.innerHTML;
      if (!selectorsToSync[value]) {
        selectorsToSync[value] = [];
      }
      selectorsToSync[value].push(item);
    }
    return result;
  }

  function setupSelectorSync() {
    const selectorsToSync = findSelectorsToSyncByLanguage();
    Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => {
      Object.entries(tabSetsByValue).forEach(([value, items]) => {
        items.forEach((item) => {
          item.addEventListener("click", (_event) => {
            setTabState(group, value);
            toggleAll(value, selectorsToSync[group]);
          });
        });
      });
    });
    return selectorsToSync;
  }

  const selectorsToSync = setupSelectorSync();
  for (const [group, selectedName] of Object.entries(getTabSettings())) {
    const selectors = selectorsToSync[group];
    // it's possible that stale state gives us empty selections, so we explicitly check here.
    if (selectors) {
      toggleAll(selectedName, selectors);
    }
  }
});

function throttle(func, wait) {
  let waiting = false;
  return function () {
    if (!waiting) {
      func.apply(this, arguments);
      waiting = true;
      setTimeout(function () {
        waiting = false;
      }, wait);
    }
  };
}

function nexttick(func) {
  return setTimeout(func, 0);
}
</script>
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  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
  */
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Q="x"===y?mt:bt,G="x"===y?gt:_t,Z=E[w],J=Z+g[Q],tt=Z-g[G],et=oe(f?ne(J,K):J,Z,f?ie(tt,X):tt);E[w]=et,C[w]=et-Z}}e.modifiersData[n]=C}},requiresIfExists:["offset"]};function Me(t,e,i){void 0===i&&(i=!1);var n=zt(e);zt(e)&&function(t){var e=t.getBoundingClientRect();e.width,t.offsetWidth,e.height,t.offsetHeight}(e);var s,o,r=Gt(e),a=Vt(t),l={scrollLeft:0,scrollTop:0},c={x:0,y:0};return(n||!n&&!i)&&(("body"!==Rt(e)||we(r))&&(l=(s=e)!==Wt(s)&&zt(s)?{scrollLeft:(o=s).scrollLeft,scrollTop:o.scrollTop}:ve(s)),zt(e)?((c=Vt(e)).x+=e.clientLeft,c.y+=e.clientTop):r&&(c.x=ye(r))),{x:a.left+l.scrollLeft-c.x,y:a.top+l.scrollTop-c.y,width:a.width,height:a.height}}function He(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function We(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?Be:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},Be,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof i?i(a.options):i;d(),a.options=Object.assign({},o,a.options,s),a.scrollParents={reference:$t(t)?Ae(t):t.contextElement?Ae(t.contextElement):[],popper:Ae(e)};var r,c,u=function(t){var e=He(t);return Bt.reduce((function(t,i){return t.concat(e.filter((function(t){return t.phase===i})))}),[])}((r=[].concat(n,a.options.modifiers),c=r.reduce((function(t,e){var i=t[e.name];return t[e.name]=i?Object.assign({},i,e,{options:Object.assign({},i.options,e.options),data:Object.assign({},i.data,e.data)}):e,t}),{}),Object.keys(c).map((function(t){return c[t]}))));return a.orderedModifiers=u.filter((function(t){return t.enabled})),a.orderedModifiers.forEach((function(t){var e=t.name,i=t.options,n=void 0===i?{}:i,s=t.effect;if("function"==typeof s){var o=s({state:a,name:e,instance:h,options:n});l.push(o||function(){})}})),h.update()},forceUpdate:function(){if(!c){var t=a.elements,e=t.reference,i=t.popper;if(Re(e,i)){a.rects={reference:Me(e,te(i),"fixed"===a.options.strategy),popper:Kt(i)},a.reset=!1,a.placement=a.options.placement,a.orderedModifiers.forEach((function(t){return a.modifiersData[t.name]=Object.assign({},t.data)}));for(var n=0;n<a.orderedModifiers.length;n++)if(!0!==a.reset){var s=a.orderedModifiers[n],o=s.fn,r=s.options,l=void 0===r?{}:r,d=s.name;"function"==typeof o&&(a=o({state:a,options:l,name:d,instance:h})||a)}else a.reset=!1,n=-1}}},update:(s=function(){return new Promise((function(t){h.forceUpdate(),t(a)}))},function(){return r||(r=new Promise((function(t){Promise.resolve().then((function(){r=void 0,t(s())}))}))),r}),destroy:function(){d(),c=!0}};if(!Re(t,e))return h;function d(){l.forEach((function(t){return t()})),l=[]}return h.setOptions(i).then((function(t){!c&&i.onFirstUpdate&&i.onFirstUpdate(t)})),h}}var $e=We(),ze=We({defaultModifiers:[pe,Pe,ue,Ft]}),qe=We({defaultModifiers:[pe,Pe,ue,Ft,Ie,xe,je,le,Ne]});const Fe=Object.freeze({__proto__:null,popperGenerator:We,detectOverflow:ke,createPopperBase:$e,createPopper:qe,createPopperLite:ze,top:mt,bottom:gt,right:_t,left:bt,auto:vt,basePlacements:yt,start:wt,end:Et,clippingParents:At,viewport:Tt,popper:Ot,reference:Ct,variationPlacements:kt,placements:Lt,beforeRead:xt,read:Dt,afterRead:St,beforeMain:Nt,main:It,afterMain:Pt,beforeWrite:jt,write:Mt,afterWrite:Ht,modifierPhases:Bt,applyStyles:Ft,arrow:le,computeStyles:ue,eventListeners:pe,flip:xe,hide:Ne,offset:Ie,popperOffsets:Pe,preventOverflow:je}),Ue="dropdown",Ve="Escape",Ke="Space",Xe="ArrowUp",Ye="ArrowDown",Qe=new RegExp("ArrowUp|ArrowDown|Escape"),Ge="click.bs.dropdown.data-api",Ze="keydown.bs.dropdown.data-api",Je="show",ti='[data-bs-toggle="dropdown"]',ei=".dropdown-menu",ii=m()?"top-end":"top-start",ni=m()?"top-start":"top-end",si=m()?"bottom-end":"bottom-start",oi=m()?"bottom-start":"bottom-end",ri=m()?"left-start":"right-start",ai=m()?"right-start":"left-start",li={offset:[0,2],boundary:"clippingParents",reference:"toggle",display:"dynamic",popperConfig:null,autoClose:!0},ci={offset:"(array|string|function)",boundary:"(string|element)",reference:"(string|element|object)",display:"string",popperConfig:"(null|object|function)",autoClose:"(boolean|string)"};class hi extends B{constructor(t,e){super(t),this._popper=null,this._config=this._getConfig(e),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar()}static get Default(){return li}static get DefaultType(){return ci}static get NAME(){return Ue}toggle(){return this._isShown()?this.hide():this.show()}show(){if(c(this._element)||this._isShown(this._menu))return;const t={relatedTarget:this._element};if(j.trigger(this._element,"show.bs.dropdown",t).defaultPrevented)return;const e=hi.getParentFromElement(this._element);this._inNavbar?U.setDataAttribute(this._menu,"popper","none"):this._createPopper(e),"ontouchstart"in document.documentElement&&!e.closest(".navbar-nav")&&[].concat(...document.body.children).forEach((t=>j.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;i<n;i++){const n=hi.getInstance(e[i]);if(!n||!1===n._config.autoClose)continue;if(!n._isShown())continue;const s={relatedTarget:n._element};if(t){const e=t.composedPath(),i=e.includes(n._menu);if(e.includes(n._element)||"inside"===n._config.autoClose&&!i||"outside"===n._config.autoClose&&i)continue;if(n._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;"click"===t.type&&(s.clickEvent=t)}n._completeHide(s)}}static getParentFromElement(t){return n(t)||t.parentNode}static dataApiKeydownHandler(t){if(/input|textarea/i.test(t.target.tagName)?t.key===Ke||t.key!==Ve&&(t.key!==Ye&&t.key!==Xe||t.target.closest(ei)):!Qe.test(t.key))return;const e=this.classList.contains(Je);if(!e&&t.key===Ve)return;if(t.preventDefault(),t.stopPropagation(),c(this))return;const i=this.matches(ti)?this:V.prev(this,ti)[0],n=hi.getOrCreateInstance(i);if(t.key!==Ve)return t.key===Xe||t.key===Ye?(e||n.show(),void n._selectMenuItem(t)):void(e&&t.key!==Ke||hi.clearMenus());n.hide()}}j.on(document,Ze,ti,hi.dataApiKeydownHandler),j.on(document,Ze,ei,hi.dataApiKeydownHandler),j.on(document,Ge,hi.clearMenus),j.on(document,"keyup.bs.dropdown.data-api",hi.clearMenus),j.on(document,Ge,ti,(function(t){t.preventDefault(),hi.getOrCreateInstance(this).toggle()})),g(hi);const di=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",ui=".sticky-top";class fi{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,"paddingRight",(e=>e+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t<e;t++)if(n[t].test(i))return!0;return!1};function Yi(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(let t=0,i=s.length;t<i;t++){const i=s[t],n=i.nodeName.toLowerCase();if(!Object.keys(e).includes(n)){i.remove();continue}const o=[].concat(...i.attributes),r=[].concat(e["*"]||[],e[n]||[]);o.forEach((t=>{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" ").forEach((t=>{if("click"===t)j.on(this._element,this.constructor.Event.CLICK,this._config.selector,(t=>this.toggle(t)));else if("manual"!==t){const e=t===hn?this.constructor.Event.MOUSEENTER:this.constructor.Event.FOCUSIN,i=t===hn?this.constructor.Event.MOUSELEAVE:this.constructor.Event.FOCUSOUT;j.on(this._element,e,this._config.selector,(t=>this._enter(t))),j.on(this._element,i,this._config.selector,(t=>this._leave(t)))}})),this._hideModalHandler=()=>{this._element&&this.hide()},j.on(this._element.closest(ln),cn,this._hideModalHandler),this._config.selector?this._config={...this._config,trigger:"manual",selector:""}:this._fixTitle()}_fixTitle(){const t=this._element.getAttribute("title"),e=typeof this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?dn:hn]=!0),e.getTipElement().classList.contains(sn)||e._hoverState===on?e._hoverState=on:(clearTimeout(e._timeout),e._hoverState=on,e._config.delay&&e._config.delay.show?e._timeout=setTimeout((()=>{e._hoverState===on&&e.show()}),e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?dn:hn]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState=rn,e._config.delay&&e._config.delay.hide?e._timeout=setTimeout((()=>{e._hoverState===rn&&e.hide()}),e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach((t=>{Gi.has(t)&&delete e[t]})),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),a(Qi,t,this.constructor.DefaultType),t.sanitize&&(t.template=Yi(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=new RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>'},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const e=gn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(gn);const _n="scrollspy",bn={offset:10,method:"auto",target:""},vn={offset:"number",method:"string",target:"(string|element)"},yn="active",wn=".nav-link, .list-group-item, .dropdown-item",En="position";class An extends B{constructor(t,e){super(t),this._scrollElement="BODY"===this._element.tagName?window:this._element,this._config=this._getConfig(e),this._offsets=[],this._targets=[],this._activeTarget=null,this._scrollHeight=0,j.on(this._scrollElement,"scroll.bs.scrollspy",(()=>this._process())),this.refresh(),this._process()}static get Default(){return bn}static get NAME(){return _n}refresh(){const t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return this._scrollElement.scrollHeight||Math.max(document.body.scrollHeight,document.documentElement.scrollHeight)}_getOffsetHeight(){return this._scrollElement===window?window.innerHeight:this._scrollElement.getBoundingClientRect().height}_process(){const t=this._getScrollTop()+this._config.offset,e=this._getScrollHeight(),i=this._config.offset+e-this._getOffsetHeight();if(this._scrollHeight!==e&&this.refresh(),t>=i){const t=this._targets[this._targets.length-1];this._activeTarget!==t&&this._activate(t)}else{if(this._activeTarget&&t<this._offsets[0]&&this._offsets[0]>0)return this._activeTarget=null,void this._clear();for(let e=this._offsets.length;e--;)this._activeTarget!==this._targets[e]&&t>=this._offsets[e]&&(void 0===this._offsets[e+1]||t<this._offsets[e+1])&&this._activate(this._targets[e])}}_activate(t){this._activeTarget=t,this._clear();const e=wn.split(",").map((e=>`${e}[data-bs-target="${t}"],${e}[href="${t}"]`)),i=V.findOne(e.join(","),this._config.target);i.classList.add(yn),i.classList.contains("dropdown-item")?V.findOne(".dropdown-toggle",i.closest(".dropdown")).classList.add(yn):V.parents(i,".nav, .list-group").forEach((t=>{V.prev(t,".nav-link, .list-group-item").forEach((t=>t.classList.add(yn))),V.prev(t,".nav-item").forEach((t=>{V.children(t,".nav-link").forEach((t=>t.classList.add(yn)))}))})),j.trigger(this._scrollElement,"activate.bs.scrollspy",{relatedTarget:t})}_clear(){V.find(wn,this._config.target).filter((t=>t.classList.contains(yn))).forEach((t=>t.classList.remove(yn)))}static jQueryInterface(t){return this.each((function(){const e=An.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(window,"load.bs.scrollspy.data-api",(()=>{V.find('[data-bs-spy="scroll"]').forEach((t=>new An(t)))})),g(An);const Tn="active",On="fade",Cn="show",kn=".active",Ln=":scope > li > .active";class xn extends B{static get NAME(){return"tab"}show(){if(this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE&&this._element.classList.contains(Tn))return;let t;const e=n(this._element),i=this._element.closest(".nav, .list-group");if(i){const e="UL"===i.nodeName||"OL"===i.nodeName?Ln:kn;t=V.find(e,i),t=t[t.length-1]}const s=t?j.trigger(t,"hide.bs.tab",{relatedTarget:this._element}):null;if(j.trigger(this._element,"show.bs.tab",{relatedTarget:t}).defaultPrevented||null!==s&&s.defaultPrevented)return;this._activate(this._element,i);const o=()=>{j.trigger(t,"hidden.bs.tab",{relatedTarget:this._element}),j.trigger(this._element,"shown.bs.tab",{relatedTarget:t})};e?this._activate(e,e.parentNode,o):o()}_activate(t,e,i){const n=(!e||"UL"!==e.nodeName&&"OL"!==e.nodeName?V.children(e,kn):V.find(Ln,e))[0],s=i&&n&&n.classList.contains(On),o=()=>this._transitionComplete(t,n,i);n&&s?(n.classList.remove(Cn),this._queueCallback(o,t,!0)):o()}_transitionComplete(t,e,i){if(e){e.classList.remove(Tn);const t=V.findOne(":scope > .dropdown-menu .active",e.parentNode);t&&t.classList.remove(Tn),"tab"===e.getAttribute("role")&&e.setAttribute("aria-selected",!1)}t.classList.add(Tn),"tab"===t.getAttribute("role")&&t.setAttribute("aria-selected",!0),u(t),t.classList.contains(On)&&t.classList.add(Cn);let n=t.parentNode;if(n&&"LI"===n.nodeName&&(n=n.parentNode),n&&n.classList.contains("dropdown-menu")){const e=t.closest(".dropdown");e&&V.find(".dropdown-toggle",e).forEach((t=>t.classList.add(Tn))),t.setAttribute("aria-expanded",!0)}i&&i()}static jQueryInterface(t){return this.each((function(){const e=xn.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(document,"click.bs.tab.data-api",'[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this)||xn.getOrCreateInstance(this).show()})),g(xn);const Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return Dn}show(){j.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Sn),u(this._element),this._element.classList.add(Nn),this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.remove(In),j.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this._element.classList.contains(Nn)&&(j.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.add(Sn),this._element.classList.remove(In),this._element.classList.remove(Nn),j.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this._element.classList.contains(Nn)&&this._element.classList.remove(Nn),super.dispose()}_getConfig(t){return t={...jn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Mn),g(Mn),{Alert:W,Button:z,Carousel:st,Collapse:pt,Dropdown:hi,Modal:Hi,Offcanvas:Fi,Popover:gn,ScrollSpy:An,Tab:xn,Toast:Mn,Tooltip:un}}));
//# sourceMappingURL=bootstrap.bundle.min.js.map</script>
<style type="text/css">@font-face {
font-display: block;
font-family: "bootstrap-icons";
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2vLpSfKS9SF6tLVG11qbpMl9Xl9Hn6fH2BvlC31e10e91B36Rv1hv0Rr1HP6/36hf1Pv2SmWvmmWXmA3uavdReZuvZ+vZy28B+b/92VVxj18Q1dc3cRnfQ/eaP9LV9HV/XX+ob+cZ+t3/Ov+8/8B/6j/xB/5tPfeZzX/S/+z/iifGkWD6eHE+Jp8bKsUq8PDaLLWLL2CoOiUPjlHhz6Bq6he6hR7gi9Ay9Qu/QJ/QN/UL/MCAMtGfas1w5d7Q7xh2rjPyc7JT3f/m//T/+37A7PBfejOdaY63/NfwZ6oX64fLQIDQMjULj0CQ0Dc1C89AitAytQuvQJrQN7UL70CF0DJ1C59BFV9XVdHVdQ9fUtXRtXUfX1Zfqy3Q9XV9frhvohrqRbqyb6Ka6mW6hW+rWuo2tYM9wF7gLXSV3kZvoJrnJboqb6qa5Ge5aN9PNcnPcXLfALXSL3GK3xC11y9x1fpgf48f6cX68n+An+kl+sp/ip/pp/ho/w8/28/3CcGT4NHym6pr15iZzs9lgNppbzCZzq7nN3G7uMJvNneYuc7fZYu4x95qt5j5zv3nArXDX+yp+kV8cRoVf47Xy43f4n39y///zr9L4f7028D/E2/DnQUhVlmpIVZFqSVWV6khVk+pJVZcaSNWQGknVlHoYqVpSDydVR+oRpOpJLUWqvtTSpBpILUOqodQjSTWSehSpxlLLkmoitRypplKPJtVM6jGkmks9llQLqceRain1eFKtpJ5AqrXUE0m1kXoSqbZSy5NqJ/VkUu2lnkKqg9RTSXWUehqpTlJPJ9VZagVSXaSeQaqr1DNJdZN6FqnuUs8m1UPqOaSukFqRVE+p55LqJfU8Ur2lnk+qj9QLSPWVeiGpflIrkeov9SJSA6ReTGqg1MqkBkmtQmqw1EtIDZFaldRQqdVIDZNandRwqTVIXSm1JqkRUmuRGim1NqlRUuuQGi21LqkxUi8lNVbqZaTGSa1HarzU+qQmSL2c1ESpDUhNktqQ1GSpjUhNkdqY1FSpTUhNk9qU1DVSm5GaLrU5qRlSW5CSrnOoJamZUluRmiW1NanZUtuQmiO1Lam5UtuRmie1Pan5UjuQWiC1I6mFUjuRWiS1M6nFUruQWiK1K6mlUruRWia1O6nrpPYgtVzqFaRWSO1J6nqpvUitlNqb1A1S+5BaJbUvqdVS+5G6UWp/UmukDiC1VupAUuukDiK1XupgUjdJHULqZqlDSUk/OzSM1Eapw0ndKvVKUuh1I0jdLnUkqTukjiK1WepVpO6UejWpu6SOJnW31DGktkgdS+oeqeNI3St1PKmtUieQuk/qRFIPSp1E6iGpk0ltkzqF1MNSp5J6ROo0Uk9LvYbUTqnTST0jdQapZ6VeS2qX1JmkdkudReo5qbNJ7ZE6h9TzUueSekHqPFJ7pc4n9aLUBaT2SV1I6iWpi0i9LHUxqf1Sl5B6XepSUm9IXUbqTanXkXpL6nJSb0tdQeodqdeTelfqSlLvSb2B1IdSV5H6SOpqUh9LvZHUJ1LXkPpU6lpSn0ldR+pzqetJfSH1JlJfSr2Z1FdSN5D6WupGUt9IvYXUt1I3kTog9VZS30m9jdT3Um8n9YPUO0j9KHUzqZ+k3knqZ6l3kToo9W5Sv0ndQuqQ/N89pApS7yVVInUrqUTqfaRSqfeTyqQ+QCqX+iCpotSHSP0udRupP6Q+TOpPqY+Q+kvqo6T+lvoYqX+kPk4Kfz1mO2EUOfQEacwmT5LGbLKDNGaTp0hjNnmaNGaTnYRp79AzpDGbPEsas8ku0phNdpPGbPIcacwme0hjNnmeNGaTF0hjNtlLGrPJi6Qxg+wjjRnkJdKYHV4mjdnhFdKYHfaTxuzwKmnMDq+RxuzwOukKUt8gjdnhTdKYHd4ijdnhbdKYHd4hjdnhXdKYHd4jjdnhfdKYBT4gjVngQ9KYBT4ijVngY9KYBT4hjVngU9LIw89II/c+J428+oI08upL0sirr0gjr74mjbz6hjTy6lvSyKsDpJFX35FGXn1PGnn1A2nk1Y+kkUs/kUYu/UwaufQLaeTSr6SRSwdJI5d+I41cOkQauVQgjVwqIY1cSkgjl1LSyKWMNHIpJ41cKpJGLv1OGrn0B2nk0p+kkUt/kUYu/U0aufQPaeTSv6TH/9cK/qMlewqatGRPwZCW7ClY0pI9BUdasqfgSUv2FAJpyZ5CJC3ZUziMtGRP4XDSkj2FI0hL9hRKkZbsKZQmLdlTKENasqdwJGnJnsJRpCV7CmVJS/YUypGW7CkcTVqyp3AMacmewrGkJXsKx5GW7CkcT1qyp3ACacmewomkJXsKJ5GW7CmUJy3ZUziZtGRP4RTSkj2FU0lL9hROIy3ZUzidtGRPoQJpyZ7CGaQlewpnkpbsKZxFWrKncDZpyZLCOaQlSwoVSUuWFM4lLVlSOI+0ZEnhfNKSJYULSEuWFC4kLVlSqERasqRwEWnJksLFpCVLCpVJS5YUqpCWLClcQlqypFCVtGRJoRppyZJCddKSJYUapCVLCjVJS5YUapGWLCnUJi1ZUqhDWrKkUJe0ZEnhUtKSJYXLSEuWFOqRliwp1CctWVK4nLRkSaEBacmSQkPSkiWFRqQlSwqNSUuWFJqQliwpNCUtWVJoRlryo9CctORHoQVpyYlCS9LS9wutSEvfL7QmLX2/0Ia09PdCW9LS3wvtSEt/L7QnLX280IG09PFCR9LSxwudSEsfL3QmLX280IW09PFCV9LSxwvdSEsfL3QnLX280IO09PHCFaSlXxd6kpZ+XehFWvp1oTdp6deFPqSlXxf6kpZ+XehHWvp1oT9p6deFAaSlLxcGkpa+XBhEWvpyYTBp6cuFIaSlLxeGkpa+XBhGWvpyYThp6cuFK0lLwyuMIC19uTCStPTlwijS0osLV5GWXly4mrT04sJo0tKLC2NISy8ujCUtvbgwjrT04sJ40tKLCxNISy8uTCQtvbgwifCnXAqTyaAfTyGDfjyVDPrxNDLox9eQQT+eTgb9eAYZ9ONryaAfzySDfjyLDPrxbDLox3PIoB/PJYN+PI8M+vF8MujHC8igHy8kg368iAz68WIy6MdLyKAfLyWDHryMDPrudWTQR5eTQe9cQQY98noy6JEryaDH3EAGPWYVGfSY1WTQY24kgx6zhgx6zFoy6DHryKDHrCeDHnMTGfSYm8mgx2wggx6zkQx6zC1k0GM2kUGPuZUMesxtZNBjbieDHnMHGfSYzWTQY+4igx5zNxn0mC1k0GPuIYO+ci8Z9JWtZNBX7iODvnI/GfSVB8igrzxIBn3lITLoK9vIoK88TAZ95REy6CuPkkFfeYwM+srjZNBXtpNBX3mCDPrKk2TQV3aQQV95igz6ytNk0Fd2kkFfeYYM+sqzZNBXdpFBX9lNBn3lOTLoK3vIoK88TwZ95QUy6Ct7yaCvvEgGfWUfGfSVl8igl7xMBr3kFTLoJfvJoJe8Sga95DUy6CWvk0EveYMMesmbZNBL3iKDXvI2GfSSd8igl7xLBr3kPTLoJe+TQS/5gAx6yYdk0Es+IoNe8jEZ9JJPyKCXfEoGveQzMugln5NBz/iCDHrGl2Rwvr8ig/P9NRmc72/I4Hx/Swbn+wAZnO/vyOBMf08GZ/oHMjjTP5LBmf6JDPbpz2SwT38hg336Kxns04NksE9/I4N9eogM9mmBDPZpCRns04QM9mlKBvs0I4N9mpPBPi2SwT79nQz26R9ksE//JIN9+hcZ7NO/yWCf/kMG+/RfMi/+9yP/f4zs0RJNRvZoiSEje7TEkpG9WOLIyF4s8WRkL5YEMrIXSyIZ2Yslh5GRvVhyOBnZiyVHkJG9WFKKjOytktJkZG+VlCEje6vkSDKyh0qOIiN7qKQsGdlDJeXIyJ4oOZqM7ImSY8jInig5lozsiZLjyMieKDmejOyJkhPIyJ4oOZGM7ImSk8jInigpT0b2RMnJZGRPlJxCRvZEyalkZE+UnEZG9kTJ6WRk4UsqkJF3X3IGGXn3JWeSkXdfchYZefclZ5ORd19yDhl59yUVyci7LzmXjLz7kvPIyLsvOZ+MvPuSCwh/KafkQrJ4/5XI4v1cRBbv4WKyWO/KZPG9q5DF976ELL53VbJ43mpk8bzVyeJ5a5DF89Yki2esRRbPWJssnrEOWTxjXbJ4xkvJ4hkvI4tnrEcWz1ifLJ7lcrJ4lgZk8SwNyeJZGpHFszQmi2dpQhbP0pQs7mtGFvc1J4v7WpDFfS3J4r5WZHFfa7K4rw1Z3NeWLO5rRxb3tSeL+zqQxX0dyeK+TmRxX2eyuK8LWdzXlSzu60YW93Uni/t6kMV9V5DFfT3J4r5eZHFfb7K4rw9Z3NeXLO7rRxb39SeL+waQxX0DyeK+QWRx32CyuG8IWdw3lCzuG0YW9w0ni/uuJIv7RpDFfSPJ4r5RZHHfVWRx39Vkcd9osrhvDFncN5Ys7htHFveNJ4v7JpDFfRPJ4r5JZHHfZLK4bwpZXJ9KFtenkcX1a8ji+nSyuD6DLK5fSxbXZ5LF9VlkcX02WVyfQxbX55LF9XlkcX0+WVxfQBbXF5LF9UVkcX0xWVxfQhbXl5LF9WVkcf06sri+nCyuryCL69eTxfWVZHH9BrK4voosrq8mi+s3ksX1NWRxfS1ZXF9HFtfXk8X1m8ji+s1kcX0DWVzfSBbXbyGL65vI4vqtZHH9NrK4fjtZXL+DLK5vJovrd5LF9bvIot5NFnULWdR7yKLeSxZ1K1nU+8ii3k8W9QGyqA+SRX2ILOo2sqgPk0V9hCzqo2RRHyOL+jhZ1O1kUZ8gi/okWdQdZFGfIov6NFnUnWRRnyGL+ixZ1F1kUXeTRX2OLOoesjK3lTxPVua2khfIIrv3kkV2v0gW2b2PLLL7JbLI7pfJIrtfIYuM3k8WGf0q4W+xKHmNHDL6dXKY0d4ghxntTXKY0d4ihxntbXKY0d4hhxntXXKY0d4jhxntfXKYAT4ghxntQ3KY0T4ih9ngY3KY0T4hhxntU3KYGT4jh5nrc3KYub4gh5nrS3KYub4ih5nra3KYub4hh9njW3KYPQ6Qw+zxHTnMUN+Twwz1AznMJD+Sw0zyEznMJD+Tw0zyCznMJL+Sw4xxkBxmjN/IYfY5RA5zRYEcZokScpglEnKYJVJymCUycphrcnKYa4rkMNf8Tg5zzR/kMNf8SQ5zzV/kMNf8TQ7zyT/kMJ/8S675f3+Z7z9O5o1Ek5N5IzHkZN5ILDmZNxJHTuaNxJOTeSMJ5GTeSCI5mTeSw8jJvJEcTk7mjeQIcjJvJKXIybyRlCYn80ZShpzMG8mR5GTeSI4iJ/NGUpaczBtJOXIybyRHk5N5IzmGnMwVybHkZJZIjiMn80NyPDmZH5ITyMmckJxITmaA5CRyMgMk5cnJDJCcTE5mgOQUcjIDJKeSkxkgOY2cZH1yOjnJ+qQCOcn65AxyMh8kZ5KT7E7OIifZnZxNTrI4OYecZF9SkZxkXHIuOcm45DxykmvJ+eQk15ILyEmuJReSk1xLKpGTXEsuIie5llxMTnItqUxOci2pQk4yK7mEnGRWUpWc5FRSjZzkVFKdnGRYUoOcZFhSk5zkV1KLnORXUpuc5FdSh5zkV1KXnORXcik5ya/kMnKSX0k9cpJfSX1ykl/J5eQkv5IG5CS/kobkJL+SRuQkv5LG5CS/kibkJL+SpuQkv5Jm5CS/kubkJL+SFuQkv5KW5CS/klbkJL+S1uQkv5I25CS/krbkJL+SduQkv5L25CS/kg7kJL+SjuQkv5JO5CS/ks7kJMOSLuQkw5Ku5CTDkm7kJMOS7uQkw5Ie5CTDkivISYYlPclJhiW9yEmGJb3JSYYlfchJhiV9yUmGJf3ISYYl/clJhiUDyEmGJQPJSYYlg8hJhiWDyUmGJUPISYYlQ8lJhiXDyEmGJcPJSYYlV5KTDEtGkJMMS0aSkwxLRpGTDEuuIicZllxNTjIsGU1OMiwZQ05yKxlLTnIrGUdOcisZT05yK5lATvIpmUhO8imZRE7yKZlMTvIpmUJO8imZSk7yKZlGTvIpuYac5FMynZw09WQGOcmY5FpykjHJTHKSMckscpIxyWxykjHJHHKSMclccpIlyTxykiXJfMLf9pksII8MWUgeGbKIPDJkMXlkyBLyyJCl5JEhy8gjQ64jj6xYTh5ZsYI8suJ68siKleSRCTeQRyasIo/ev5o8ev+N5NH715BH719LHr1/HXn08vXk0ctvIo9efjN59PIN5NHLN5JHL7+FPHr5JvLo5beSRy+/jTx6+e3k0cvvII9evpk8+ved5NG/7yKP/n03efTvLeTRv+8hj/59L3n07K3k0bPvI4+efT959OYHyKM3P0gevfYh8ui128ij1z5MHr32EfLotY+SR699jDx66uPk0VO3k0dPfYI8euqT5NFTd5BHT32KPHrq0+TRU3eSR099hjx66rPk0VN3kUdP3U0ePfU58uipe8ijpz5PHj31BfLohXvJoxe+SB69cB959MKXyKMXvkwevfAV8uiF+8mjF75KHr3wNfLoha+TRy98gzx64Zvk0QvfIo/+9zZ59L93yKP/vUse/e898uh/75NH//uAPPrfh+TR/z4ij37zMXn0kk/Io398Sh794zPy6BOfk8eZ/oI8zvSX5HGmvyKPM/01eZzjb8jjHH9LHuf4AHmc4+/I4xx/Tx7n+AfyOMc/ksd5/Yk8zuvP5HFefyGPc/kreZzFg+RxFn8jj7N4iDzOYoE8zmIJeZzFhDzOYkoeZzEjj/OXk8f5K5LHmfudPM7cH+Rx5v4kj7P1F3mcrb/J42z9Qx5n61/yu/77W/v+42V/p5q87O/UkJd9nFryso9TR172a+rJy35NA3nZr2kkL/s1PYy87NH0cPKyR9MjyMseTUuRlz2aliYvezQtQ172U3okedlP6VHkZT+lZcnLfkrLkZf9lB5NXvZTegx52U/pseRlP6XHkZf9lB5PXvZTegJ52U/pieRlP6UnkZf9lJYnL/spPZm87Kf0FPKyn9JTycueSE8jL3siPZ287Im0AnnZE+kZFLD2Z1LA2p9FAWt/NgWs5TkUsJYVKWAtz6WAtTyPAtbyfApYvwsoYD0upID1qEQBn3MRBXzOxRTwOZUp4HOqUMDnXEIBn1OVAj6nGgV8TnUK+JwaFPA5NSngc2pRwOfUpoDPqUMBn1OXAj7nUgr4nMso4HPqUcDn1KeAz7mcAj6nAQV8TkMK+JxGFPA5jSngc5pQwOc0pSB9OG1GQfpw2pyC9OG0BQWZR9OWFKQnp60oSE9OW1OQnpy2oSA9OW1LQfpw2o6C9OG0PQXpw2kHCjKDph0pyAyadqIgM2jamYLMoGkXCjKDpl0pyAyadqMgM2janYLMoGkPCjKDpldQkBk07UlBZtC0FwWZQdPeFCQX0j4UZAZN+1KQGTTtR0Fm0LQ/BcmOdAAFmUHTgRQkR9JBFCRH0sEUZAZNh1CQTEmHUpC5Mx1GQebOdDgFmTXTKynIrJmOoCCzZjqSgsya6SgKkkHpVRRkjkyvpiAZlI6mIBmUjqEgGZSOpSAZlI6jIBmUjqcgGZROoCAZlE6kIHNkOomCzJHpZAqSTekUCpJN6VQKkk3pNAoyR6bXUJA5Mp1OQTIrnUFB5sj0WgqSX+lMCpJf6SwKkl/pbAqSX+kcCpJZ6VwKklnpPAqSWel8CpJZ6QIKklnpQgoyL6aLKEh+pYspSH6lSyjIjJgupSAzYrqMgmRZeh0FybJ0OQXJsnQFBcmy9HoKMiOmKynIjJjeQEFmxHQVBZkR09UUZEZMb6QgM2K6hoLMiOlaCjIjpusIvy8mXU8BWXkTBWTlzRRkFkw3UJBZMN1IARl6CwVk6CYKMgumt1KQWTC9jQKy9XbC37Od3kEBObuZAnL2TgrI2bsoyFyY3k0BmbuFAnL2HgrI2XspIGe3UpBZML2PgsyC6f0UZBZMH6Ags2D6IAWZBdOHKMgsmG6jILNg+jAFZPcjFJDRj1JARj9GARn9OAVk9HYKyOgnKCCjn6SAjN5BARn9FAVk9NMUkNE7KSCjn6GAjH6WAjJ6FwWZ+dLdFGTmS5+jILNduocCMvp5CjI0pS9QkLkt3UtB5rb0RQoyt6X7KMjclr5EQea29GUKMqulr1CQWS3dT0FmtfRVCjKrpa8Rfitl+jpFzGtvUMTM8CZFzAxvUcTM8DZFzGvvUMS89i5FzFDvUcQM9T5FzFAfUMQM9SFFzAwfUcTM8DFFzFCfUMQM9SlFzDufUcS88zlFzDtfUMS88yVFzBtfUcS88TVFzBjfUMSM8S1FzBgHKGLG+I4iZozvKWLG+IEiZowfKWKW+IkiZomfKWKW+IUiZolfKWKWOEgRs8RvFDFLHKKIWaJAEbNECUXMEglFzBIpRcwSGUXMLDlFzCxFiphTfqeIOeUPiphT/qSIOeUviphT/qaIOeUfiphN/qXY+r/fzvOfKDNHpinKzJEZijJzZJaizByZoyj5nXmKkt9ZoCj5nUWKktnZYRQls7PDKUo2Z0dQlGzOSlGUbM5KU5RszspQlGzOjqQo2ZwdRVGyOStLUbI5K0dRsjk7mqJkc3YMRcnm7FiKks3ZcRQlm7PjKUo2ZydQlGzOTqQouZudRFFyNytPUXI3O5mi5G52CkXJ3exUipK12WkUJVOz0ylKdmYVKEouZmdQlGzLzqQo2ZadRVGyLTubomRbdg5FybasIkXJs+xcipJn2XkUJc+y8ylKnmUXUJQ8yy6kKFmVVaIoWZVdRFGyKruYlPTcrDIp6blZFVLSp7JLSEmfyqqSlt6aVSMtez2rTgbvsQYZmRWymmRkVshqkcGa1CYjs0JWh4xkcVaXjMwH2aVkJNezy8jie9cji3danyze6eVkJUezBmQlR7OG5PCuGpHDu2pMDu+qCTm8q6bkZK7NmpGT/M6ak5MzmbUgj3PQkrzMDVkr8jI3ZK3JY53bkJeZIGtLXnI0a0de+n7Wnrz0qawDeelTWUcKOJedKOAsdqaAZ+hCAeemKwWcm24UsCe7U8D696CINbmCIta5JwWc+16ksK69SUmeZX3I47z2pYj32I+MZEzWn5xkQDaAnPSvbCB5PO8g8jIPZYMp4I8NoYBzMZSCzD3ZMAoy02TDKWAfXkkR+2cERXzOSFI4E6PISA5lV5GRHMquJiM5lI0mIzmUjSGL/TiWLJ5/HDns/fHksN8nkMOZnUhOMiObRF5m62wyeazVFPJ45qnkZT7OppHH/r+GvGRwNp0ifr0ZFPHrXUtRZtNsJuE3VWazSMmMlc0mJTNWNocU3tFcUjIHZPNISRZm80mjRy4gI/NEtpCMzBPZIjIyE2SLychMkC0lizxZRhb7djlZ7KsVZLGHV5LFHr6BLPJkFVn08tVk0cvXkEUvX0sWz7meLHr5TWTRy28mix62gSx62EZy6Ce3kEPdRE7mj+xWcjJ/ZLeRx7NtJo++eyd5nLm7yOPM3U0eZ24LeZy5e8hjD99LXmbobCt5mTuz+8jL3JndT17my+wB8jJfZg+Sx3t5iDzeyzby6FEPU8C6PUIB6/YoBazbYxSwbtspYN2eoIAMfJICMnAHBWTgUxTQQ56mgL66kwL66jMU0FefpYAM3EUBGbibAp59DwWZw7LnKeAcvUBBZq9sL0W8ixcpYu7YRxFzx0sUMXe8TBFzxysUMXfsp4g+9ipFnJvXKOLcvE4RZ+UNijgrb1LE+XiLIs7H2xRxPt6hiP34Llmsz3vk0F/fJ4f++gFF9P4PKaL3f0QRPfNjiujZn1BEz/6UIn7Nzyji1/ycFHLkSzL43l+Rw1n4mpzMjtk35DFnfUsec9YB8tgP35HHfviePPL/B/Lohz+Sx3P+RAEz6c8U0KMOUkQf+I0i+sAhisi6AkVkXQlFnLWEIs5aShFnLaOIs5aTQQ4XyeDc/E4G5+YPMth7f5LBufmLDPbL3+RxRv4hjzPyL4WS/37L/H+U5EquSUmu5IaU9JbckpL+kjtScrZzT0rOdh5IyfnMIyk5n/lhpORn6fxwUnJW8yNIy+yblyItPTMvTVrOfl6GtJz9/EjS8l3yo0jLPsnLkpZcz8uRljzLjyYteZYfQ1rOSX4saTkn+XGk5Qzkx5OWM5CfQFr2Yn4iadmL+UmkZd/k5UnLvslPJoNf7xQy+DVOJYP7TiOD+04ng/sqkMF9Z5DBf/dMMrh+FhlcP5sM6jlkUCuSQT2XDOp5ZFDPJ4N6ARnUC8mgViKDehEZ1IvJoFYmg1qFDOolZFCrkkGtRga1Ohk5A3kNMnIG8ppksRdqkcVeqE0W778OWbz/umTxzi8li3d+GVm883pk8c7rk5UenV9OVnp03oCs9Oi8IVnp0XkjstKj88ZkpUfnTchKj86bkpUenTcjK+cub05W+lXegiz2Xkuy2HutyEqPzluTlR6dtyErPTpvSxZ7sh1Z6ct5e7LSl/MOZKUv5x3JSl/OO5GVvpx3Jit9Oe9CVvpy3pWs9OW8G1npy3l3stKX8x5kcRZ6ksVZ6EVW+nLem6z05bwPWenLeV+y0pfzfmSlL+f9yUpfzgeQlb6cDySLMzWIrPTifDBZ6cX5ELLSi/OhZCUj8mFkZQ7Mh5OVHp2PICs9Oh9JVvpyPooseuBV5PBcV5PD548mh88fQw6fOZYcPnMcOXzmeHK4bwI53DeRnORvPomczKn5ZHIy2+VTyOHZppLDs00jL7Nyfg15mZXz6eRl7sxnkEcfvpa8zED5TPIyA+WzyMsMlM8mLzNQPoe8zED5XPIyA+XzyMsMlM8nLzNQvoACztpCCjhriyjIrJwvpiCzcr6EInrYUoroXcsoYr9cRxH7ZTlFXF9BEdevp4jrK8mib99AVn5ey1eRlQzO1xDCO19L+JOV+TpSyKX1pJBLGwj//P58Iyn0olsI/0S6fBMp5NLtpNCX7iCFvrSZFHLpTlLoUVtIYd3uIYV1u5cUetRWUsiRB0ghlx4khUx5iBRyaRsp5MujpJAvj5FCvjxOCvmynRRyaQcpZM1TpJBLT5NC7uwkhdzZRQq5tJsU3ulzpPBO95BCHu0lhTx6kRTyaB8p5NFLpJBHL5NCBr1C+N9ZyPeTQga9SgoZ9BopZM3rpJAVb5BCJrxJCpnwFmm8l7dJ4728QxrP8y5pPM97pJGP75PGs31EGr35Y9LozZ+QRm/+lDR682ekZZbOPyctP9flX5DGvvuSNPbdV6Sxll+TRk4dII11/Y401vV70ljXH0hjXX8kgzP9Exmc6Z/J4Hz9QgYZ8StZ7IeDZLGGv5HFGh4ii1wtkEWulpBFriZkkaspWTxjRlbm0Twnh5nhD3LI2D/JIWP/IoeM/ZscMvYfclirf8kd/O8f9/QfJ89a1OTlbBYdedkbRU9eZohiIC8zRDGSl+9bPIy8ZH/xcPLybMUjyMu+L5YiL/u+eCR52R/Fo8jLehbLkpfMLZYjL/umeDR5PPMx5PHMx5KX9SoeR17Wq3g8eVmv4gnk5YsWTyQvPw8UTyIv61gsTxHXT6aI66dQxPVTKeL6aRRx/XSKuF6Bosx4xTMoyvsqnklR3nXxLIryXopnU5RZp3gORZl1ihUpyqxTPJei5HfxPIqSp8XzKUr+FS+gKGekeCEFmVGKlSjIjFK8iILMKMWLKciMUqxMQX52K1ahIPNK8RIKMq8Uq1KQeaVYjYJkULE6BcmgYg0KMq8Ua1KQ2aBYi4LMK8XaFGReKdYhi7WpSxZrcyk5vP/LyOH91yOH91+fHN7/5YR/0EaxAeE3xBYbEn7jTbER4W9yLTYmL+ek2IS8nJNiU/JyTorNyMs5KTangD3cggL2cEsK0iuLrSjiXbUmi+dpQxbP05a89ItiOwpybovtKeD7daCA79eRAr5fJwr4fp0p4Pt1oYDv15UCvl83Cvh+3Sng+/WggO93BQV8v54U8P16UcD3600B368PBXy/vhTw/fpRwPfrTwHfbwAFfL+BFPD9BlHA9xtMAd9vCAV8v6EU8P2GkcYeHE4ae/BK0tiDI0hjD44kjT04ijT24FWksQevJo09OJo09uAY0tiDY0ljD44jjXc0njTe0QTSeEcTSeMdTSKNdzSZNN7RFNJ4R1NJ4x1NI413dA1pvKPppPFeZpDGe7mWNN7FTNJ4F7PIog/NJos+NIcc+sRccugT88ihT8wnhz6xgBy+00Jy+E6LyOE7LSaH77SEHL7TUnL4TsvI4dmvI4dnX04Oz76CHJ79enJ43pXk8Lw3kMNzrSKH51pNDs91Izk81xpyeK615PBc68jhudaTw3PdRB577Wby2AsbyGMvbCSPvXALeeyFTeSxF24lj3W7jTzW7XbyWLc7yGPdNpPHut1JHut2F3nshbvJYw23kMe7vYc83tu95LEmWykgY++jIHNV8X4KMlcVHyCFPf8gGazHQ2SwHtvIYD0eJoP1eIQM1uNRMliPx8hgPR4ng/XYTgbr8QQZrMeTZLAeO8hgPZ4ig/V4mgzWYycZrMczZLAez5LBeuwig/XYTQbr8RwZrMceMliP58lgPV4gh/24lxz244vkkY37yGO/vUQe++1lCug3r1BAn99P8dr/A5hu9tR4nNS9CZgkR3kgmpH3VVlZmZWZdfZVU1XdPT3d011dXT2aU6Nz1BpdlkBC1nBIICMO9VgyCBlsYMRhQMYYaBA+ZLAN0vIWdrExtiWDn9eyvWt79q0f7z1sP956sJ95i+3dfR9ae1e7jPb/I/KsyuruGaSx3Edm5BXxx///8ccff/zxBydw8EP2cd/iFG6Gu5rjBv2W4g163qC/urbilxW5SLxev9UfrA3W+qudGblJgh48kBdJt1X2V+Bmt9PtHyGLZEb2ekcIPttL1vypSXKLWS5Igrp8x2UzhqhU5oKfKhrFYmCRcnW+oauGZpPKbFAm8FpBt25/b+D5m68iWsEsqZI6sFzSNRXDsL2KTfbAO0RXil7gWJpKCCk1Xa+o6oZjcqwOC1ALk6tyHagDQomwHSarnaBskZlFsgqQTRCF3WPPt6xSqWHb75+96parZulhq9Zsrjab/7ZZlatNejgwFz6aveqtczPyzBw9cJw4VGYPS+1A3oA0yFvujgVBKk+QlSNkFfBlkbDA2ggk57/dOnTtoRY9XJsU/L5cyOb2hG+2DiFYET4WALYGNzeEjxCyg4RdtpQ02CFKfsz2/eK3ir5vb45g5C7f/gt4bJ8r+n+VxkiEk3203CqUe2A7nHRX1wAEen8vmen026sdOMeg9bOY+SVaHi2ZVA3lnGoY6jnFyMfMevgmVAHYh72MoPEpmpU5rp2mSpdxfY8sJDT4sWprhlS3EjzP1CrVd3BD/DYNtUyTVMpk67WgPfUHbkJNUk2XQGZaWwn19qTK2npHtVKLYV7gilzAce4w8cL8OzHBbscsyUJCpA2WUcwXSB8F8uoC3OHXO9HiC5jnx/NJcI5m38lDeRrf3SF8K2OlS4YEXyz4liSqg3uOdwuiUt9Xq6TIoeqW6Wqydtj2yIKlmKZTqTtkmD6r29EH8YeQeCEoHgMFIRlDsi9WavvqiljoHr9noIqS5Rfy6QcyyqlXHNNUrAXi2YcBTte0MvScz6fnGHgSEv/ECAhpev9IfsEZ+teg7MsY/ceUthNLvGMEhnfk88dXcsG5eid+WRnmF/iXZzqsy+nSLgdZJtvpeGnW+WTBJqWqTYLG0hQxNFNXdVJfqAfE8i3LsFN8tFwILFMtBdWyrWuE8KphlfygpJqFcqHMpfmpDXAdBby1+r0ViialhfgLAH+K5we+5wOM/R5w29oiGYyV+h+zbcMCMEgAABEAzNQMMrXUCIhdLRH7g/ndwE8CNAWE0y9ZhsoToul2uYpwWkFBHdMbpPmtn8Nvu6pJwno/vD3kaT78+e3ATfFiG+C6arc43Yktd8Dsp/N5dFvMvi23N8nKmMnh3gRAh86kj6IN2jSc5DRrPj5dPFFxnPaeZTKR4kOrX/eaTe+eu8lN+5L+FMsocC43xcFNaJ49bKcouPtrAc15vHbxqCK1HadyoqhBQb+cz1V/bKr3YKn1GpSq70KnkDiPa6HswLJHlIkMfD8Cxb465p23RdD8GJT0oYRRXhlBkNUhsM4tqlfl1HknPsjU/H35VM/U/N5d6AzzIzIJ+LU1A3zaGgBQCsghqhmjmJogaYJvVSYbZVOTRSJeebviC5ZulkqBzQekkaL/W5uLNVGUFryXy5rdKOm646faCfLZALDBymZwtBmdGc1BkevSZoJAUZg8gAmkJAVqTHe25TdIwNtBqWTqluArt18JMMqaWW5M5vdrbd/RdVDJNPnl3oIkirXFZhpPKGf25ciZbWFL5MvmeHDSsuWvcoFIcNUEGA5T7XObUnfUQMfD8oUx6ugoWF8bw1dp+dHhloblB/Rq5cDvxZB3EOSgtwhElrEHXO2k2eun65OGNRlMNFzLFQlxi4bJV0gtKNjQAZZSHNaen5t0Ko2lakGrT2iy5W+U6iW7aQ+PZ3rcoW21WoCltUgAsiDi+dZMtwO6RBCBN4bdftqrkQpvGkWXEBGgbUwEk5YxWQ0hHcNxlqxN1LVCdalRcSbn5iOgE5mkchXUGAZR6SNiaSzAn2QlJwOeN+ZD+Bgr86MJD147DFZKdlVhLL3CHQeIdsbUTmz4qW1RNmZg9FdjcPbmnfSukXFRz1N6g34rzW6/f92R2uG7U2xVIO98p39h46I+5Nsa9Mewye/ffbh2JJ8bCp7/zneSHcdFYf6JZPk0ZpmWIa9iGeWOi8KvdyLNazHPL+ZT4I9o9gfz8J1ua7PcMmriQ2OjSL1FdQgFQeDJCiRQ9WVMAzIhSqQpc8pQTV1RGwsNVdFN1Zhcmbyl6BfhT3LqpVLdSRFtwzZUgQiKXigFQamgK3ChGna5Ur3DKBS8QuFGtNUUixz0+Gm69rkj3DXbjqmwB+yvQrfd71BWZwMMqsyNgj+GA04B6EOVGapJLndsuNVKObdia9lKiSnZUQJexd5iBLYRMbJNzd6ege7mmO/WRyvymxlQPp+w5K+PhT6kAfJondtDe7eTCPGFYHonbj67E8rfms/pD+4S5+/NawtpmYH1Gtaw0LqIkhK6wkEPhSfVrQasRmU/zfyfuqxk7Z9olC1X4EuOViAVUg1Az8p2gW+9ec4tNhbrBa06pcpWeaPYRAtTVt9GPqftchsuZ7oFwNVvWSDgO4B9GKyUuxFoYxj7U14VACtoTokXXKvcmNhvldZDKHNZ+q1lS1anqlqhvtgounM3JwBn+7/92NuEZefY+HKB/Rgr+DUxtz6YA91HWYGPpdSvIZAyensAI5X93LFY+xqPoZ0Y8qfHo+r9YxSwfFw9mK+EkRB/CoxBOXeCTJLBEXIwtCUoQOvOEp4QNoQUHg5O8xK5okEk4bgoSeLBPUSSJHK8mb7BE4UIwq/dKAiSKr1aENJpgmU+/zzlsetpr6VAdZV+VHEoDWt/lASotR7lA0WmqFgig0lCb5HApyRdIvFHXWgji2RLL4pqRxJdUfJVVREnZCLJElHnlKooyadkSawqcyq9J0+Iiqp6Mr7b1sQiWTB127nKFURZFn1DsNSaCF87CHugzFdF0xSr80qA1w58LtZUSzB8fFtwr3Js3aT6f1yvzRe2ZkpoP54kcOx25CKRJ0kLekd4VoSXjxLQ1S++9k3TMqXXSa+FKmtEMPebgg5VfC3c+v7xsm4FgbUhCz1eLpaIJK5LgmkK0rookVJR5nuCzDE+DHEHuoeLxqwAagqIwpYBLBj4tH0cJV1Fpub0o6TfeZtYLBdF7VVY23tTtbwXa/dqQnzdpNAvh2CXInhLIaDLVzlcmm5dypG7LH2ArRQI0SSDNR8IUyS9LrxyBNpQf3WJdOgkyw4gVuUs2uHM8G5au4JeNbdH7YYFiqH4/Hmo3yLIpb3cQe4q7kaoIxM71GA4wctQQehGl4g8AxWEln4U3oaW3geB1Q+YSVqRJ8gashlw3BHeDyyUBfjpIjkNJSPBte7Bcm3SgHYuWBNXTliCKgnGZK18sKuJ8hK0/jrPyyrfIB/WVdmtVVVv5mtqtebKqm7MkBYID1UuS/2TGxUDP7VKJQvzMiobJ/tSWRZPoXg5uk9QRV5cFPgrtWqVfbsP86tWNW+Gk56HH7IEtCxyB7hruR/gTqG9YKgKKHkPEs+Ceig4BDlK/JVBgDrCEsFZvC6zw7WUtWCCt/iZRf4IqHR+ADhZJFBzaNkTJMA3H09Vq43wbYsEWWxrWnO5Lkz0DvUmhPrypqYYM57WrJe+p7uyNwOSWa88k63nk9ujRZUOEMJP9w4tN5vLh3rTiu4oYUZTqgq56w3oKQmg5Xu0n5xDyWTxHvTqAUgZIOfgCN9bmeCBlRX8XfaP8H3o7bcmBvPBzMG2okzNEtJYbnjdiSIh8pQ/UypMHVmuz15FFoL5wUT78nlpUtZ540CrsVQvTc56Zmem4ukgXuYPTUEvHveNNVIDunigv00CFL2k3ztMOmsKowpDfK/fOtPBPqqj6sR4JWLkWXp49lns7J7GR08rxneh+oAe103GMAqUwfRZzsUC0LzvYgk9b8jeIXf6W6LkSCIeHtRVlimUV5XEW28VpfPPSeJtt4nSVgxHNE7EeuC8IkdF9ESoYijpvttf6xMbRSUAOGWoT2EecMC8nw1rs5nKVwjzVQA/FTpulGPVBTP1FMwUGqQsIejAn/5pgl+zLE4xSInMIF9X9bA6p+IKcsOwA3YCD7VnFGjBEGIamBkD/WnUF54eD3oebQe9BHQoBJSxTiRxWjCcjmlrED1DWzfB1LMSI63D8c8/H+pV62glZ3wz04Vecg0t5mhfnikSr0UNpD1Z6SAbU6VrQGvIGAzqKCOlBjBMgJ54/x+XG7xmNxdL6sFrr20KhJw4cehBWT8x6RsFYaZRWy53bmmU4a1GEao+37Vrtu8qJbLQKP+sIGr2xIxntnhhwvRMv1xR5EJprtmoONM8fFH+o3LjC3q9XPEKksKTFO4VrsysAsgiRwkVMwBfkZpHIvZHrLmSeI0svIaqVGHiKRnkrESF7RKQR/o3gB44iCg4pbiM/dQ+bQCegp4XlKSB11Na8i3vveX81299y61vIQuQJPO/BunUuJ/7L1RnxXly7MtASR2AwlEE1vamV9cG3c4aaCZMY+2xxARZFVRSbR5rVnlDFoKp7vmvd6cCnl8E3rMN4yEgow3k/S7hhQXDWJA0aa9zsNU66OwV1HcSeGbYOjsBrJxM++AaQOICb7a5o9AT3wF1GKx1iqQzo4DOMwmS1+tBM5OpGu2XgyhB2wYzDfR7HptdpwzYysz6K+EcPOWGrxVAjS04HacA6mqhHDwRnOJlUZTFDV4GhVZ6t6FZWIGaUTSKqvHE70IrKBrG38tFPBO7wgt8RVHoSdvjeXuqvIjf8+z0adWcRUaeZUdTfUg0lOsxfb1iSFKcztqN59HW71q8Ap3yQehmD5MjrFFSDXyRHMaBV9Rx45zHIpDKv9eZKBFSmnBOYQJ4we8Gp4KuD6cl5JelZ6aXpsj00jTIRvaWg2f2jL2HrwM3ORX63nRaVtgwJmWS1E9aUq87Q5XZCYTmCMK1SFpn8evKZmUaDpveTLk844UnouD9qSl8SNzkPp6o/IC+qQS0L0H7fjn3QSivI0MbVXDgvoZjjrXVYH8XGu4A+m/os6CFAFuAtrKI71igNoP+Beoa9NZMeaPfdF+ITP6EAPUdEeRDSTNtkT8iFFWbF2t8UbVsoptFVzacwNfVgk0INEpRLuqq4RU909Gskuqb+tHvOwfgDUGSyqamAXtJcmBohT/ndd0N9tg8dDIqD2qlqIiaqBrticDibc32DVXlVWRkRagF/v/z/WaQttfXOA3kfJuOtQ+TaWhwvUGP8SQ2yHDg3ZsOB95/51bPP1d1Z6n6hodbZYCDWHh06+UPfahc32Ld+KYm+3gXDul5sBrIpmk678yVVtcgX9qKW7FkRyXVY7Kz2x9Me9NKot3OdAwVOjJoa/XyE+W6anRs8wmzRNzzzxH5KQYPHoiCvRx0SAANwGSo7odglG1+6EDnOKhtVLyiDhW2CezhUF9G8YPaflxch44GUCTdKaj8BuppB+vlLSxky7QP8qoseDzch/PBr5TrUGdSMr9yUJBVIRqLowzE/FELx5yKpJeIrTVgWqqrd8dl8+/GlTuUfxt1XRTok9j1xEISakI14gEJsgXYu8g/xs8EtmDo1Jhu7SX9Go6eAv8I6eaiR9QFcbhcWjFRMMRYJnHPgv6C3JemcoA4GjB8ZSjjJkrLGVGaQ0jXBRX+QWWfk77DiDsvi2+cxdqtC/hUFmbfKMqsPO5Zqi+1h/24qARmo6YMpb5DhzHySl6O28MS1g/1V+bBhxpgODzJEMvLuKudJnlFLbKKbY0WI55JoEjrJaxMtD+EA6EMAYNMm9oh21yQJLLIUBOWaZJZaNc4iw5dyQR0dt3OEZC/vsXTsacHtAN5jOTsbE2uOH7/yFKhQCBTYtvrG0dr3qG2JCzw/IIgPds5dNmMNHe4ISqCIMycWJbnrr52gSxdJ/CkzYvwzyf9bCEud2UCNIpFfrC2iCMflPow8oNysVdAS8vaC1puZN8dmltiQ9MuIy4jNSI+bdR9FLr0IXSnjLlVRPqbZrEtMWxLwuzwPNTytvNQY0AYY7zNgybXaJsLGJ+aywcaZCbvu2sTBNrQBElUdmTxNCruFw1BPLmKOW9Qbkoh4hRKievpgIs+FFe5C8ND3Iaz5Y/Bw/1QIT4DSv5cHQ/1P8mAEmRZWOVSOChim+uxoqLhV6urUJeuyASMYnMQOiAxg++JTCVPQrVDy/Vf2P4fpiG6HrCVmdsrguQfQHrIyNweMkIPxmAibWY+/+3E/Pxbw6hgvSl7NbY7f24UE1GfpBCcdWSjoqjGlAfZ7F9HEjfReHLHV1GmfBWyWKJjnq+iaPnqHfgoq0dT3uqnvUQGHYuA8LRSMwKIgIvmrAvhq1hwZ8sew1dfZchEDFFApAvkKzYf3OW46WQITvWxQdCP+ozInN/FbpIoMYmuO5lmLCghoXGWsQDGi+GrMZgYx1dvHkbFRfJVe6jGVDFY8WFYIg8xlpzHWDQv7hvct7gK9WbIVzRy+sRzI/LvTUmfG9Np1P81L/sVP5nHv3e4IMBMalb/1tFCJe6i5MC4zmkMvR4f7RpyKfYruV1WbOdBfX9/OLpI6yIThKoiwjgKfEOUDmJeG7wK/CLo4kH5naJMldONWN2UQAn7JtVkN0DRxEZ/8JvMcJbcpernN0Uppv3fAEyVcBQ8hvZYMn4JGdBi0FqWk+NQ/+fGnR8IjiAc16e0SuwQx/f1qC/PjtcUQGoJcyN94P5tZ3TzQRgjqm7NASdfWk3lAcbHNp8Kk6Bj9N32OF3bzUNxPilvTfMGcmYub0T0/hb3p6w/ysEFlHtupNbQxDLtn9ZQ4kb6+nbSoWJLQw+bNZzBY+0La91jjm2Z1oy8nGnNaVEAJYkZUTDUztd20c7zqT6umX8jjwvz2vnDuewYjUO5v8E21U719hks5DegnJYW2glmickZ1Hdpjdqf/bCNrik9nGKl+fs4cyMv0qkrgk5pygS/NoDKKmhK634jpbj/IaT5NhHhn/+w1ymApBC8o8cWZFdZfYfc7vdK8Z0nZR7HA7zciRKnHVvidalaLi1PTe09XesWbC++EY/DbW4KzhEdchh8DdeUEVuU6uWvHMXK3hiPjc0S2opsWXhFuX4U+eKGGCEl8xXxnGpSTtzL5LQwalhojClG3raU9NgG5VmscK0eIeGETrpAVMIuqTzLB2GMPMtj7AuQZ1nZwbQNnA1m3QUSFlC9gSUMN2iUHUPtmMvqCSA7+omOQGeEgl5O9qtryVhgnORgDTlPcgzrCLuRHfkYHic78rqMi5Ydg5RGl8FCbseQJzpA5zj//Hmo7z7Oo76qcmfQb8kdqMlBMqBS0CsrA+oE4Ae+jGuEup1uKK/Y5CnBeeEA50ioSF+TTNKUJakhCDOXiQYvHOT/zBQ9V5ZUYlSvkSS3tKTaFXXJVA2i6nvmS6UFp+xJknxAlAQ4NYkpNfiDAm+Il02Lwh9CXp6rqPast39JFE1rSa3Y6n7L9mZtx+MLFjE9TzQlMVWXNe7m4bos8sOQhr4NqWopWFc/QGM51AzvMcsIfIMyMl0z3fNHgM/Usl7R+VrZP+ppkMXEtAE0np5QZOI6LURKUlHd3ztUkQPZGpc8HdBwzCnOzzsTZrEomopiisWiOdF2W4ilZOzH9Ko9Q3YFhdlOQ88Gxiwoai+hjWUcCN+vjeUN420ssUzOehP6R8hSPO0Y230vyMZyMmtiuSB5nF/8OBPLCCS5SMgDakh2joyxup6V0sNY/2ulFnmN2ljSOtmoleXC5eYYQowzsQyjIldoHhrBRNa+kq4t5T86/98fta98j5qPc+0r+yK+6qepHIBWFXZAUTURvRfNVRfCU/lFjzOvoPTZ2bxyCgVLLk/ti8btJO2+srrWCwZeNNOMFI17xcS+Yp8Ytq9ETIVMl2NhuZj+OB8bY00sw+jI56sRbGTtK0M1Psom4/s59pU8xhqyr4yZgcixr2xsZ1+J6TRiX+3nZb+yllaNRuwrGa0qx7py4baVcZ3S92lbWcq3rWTsGNvheFhFylWl0vKVjd1jLA6xP4mtuFl79qoAo+6Tcqo1CGRu5Bb8pBvFSV4lrZFbI7CMK3IskG/iqQERuPE6ZEko+MaRO2+i5YY3VOmkoN46cidurzWqh7Tpior0vNlY42GkuyZ8wCRzdsbQFxRZaANt2oKsCL40ckNFJReb6ack8RoPmaQjCB0663yNKP3fI3ckMZQxoR0GdacRmDMwoQ8K5dkB9Y7dYcb17WnQKLALo7UIQf6EgDcl3r8GvebEa3zkv4/GqXbqMcel1q4gza/j7t6O7rEJdcj2PZYhlJgCWQ1hV5wiXBQ38bvgr9F3OJH6u2KfjDbTa7nXgK5zoQTrZoxq6GrEXAzGDq/6H94NXT+cR9CP5dETWv6uaT+xm6LFWB6jP+UUSgXmtrQWs0DKM6yHq+pbQTIf0UL3tp5tPmva9MAmBZYobFsU9Sx9HD1JSMl8At77PIxbqEMVPN1KpbnEj0WhfcN+7nKcm8oA0x8M66eM65AWTBAE7EX0/mJzFwl0jdiB8jvUNxAAQ2frc3JyIX8nAdT8kiw+gUwEhwaVoUuJOF2KZALr3+vAV/sTuzfOzBbRLR7Vr7iBAHctUpd49AwnzB6uGrdJOjL8bbchvnTpNsOObr3sZYqoFpXbQKM21LtXgMC6JiwvC5oOJF65G7uz5K5YtEQRb0b6F/f3ROBWmZSiuiC6H60M+nR1TTTlJ1ObVstjy07DlVPUI7RLHQZB0//72tLh/fWDy1VHDqy5ZX92pesXYWRZ5oWSjqu50FWLL5p+7X3FWtGuFn+5vrdSX55cvky2eXF5rj5XKbeWGoqyUVT1if0Thq6bbafkutMuKUf9I4yrOJerAwYnBSUoCkvCoHuUV7xB0IfB9dZky67KctVuTcaphY2NTrtNFmxpqjrTqk5JNqZaM5D64xtd90Z0dRZSeXdx3bTbLQqBMikcFboDGNFPkrgsuB0W9uXJ0dLMQlmSyoVmtdqMU/cwABr2KAROtdxolqtSoSBVy80GTT0VAZXRjzHyEfpqMY0n4+fdyuF2394q+jR8zsdtv2371Dl4C5QblenObfrAL3Z8+wlD2QqfhuV1QacpcQuRFhpakanOFcouZscJRzyhwkU6fvE9JfMVkvQKs/Seov8bKGdmZ6k9iipPcAR2nHu26BfukyzpvoJffC+9M4e6cPh0jn6V1J3Bso+2b4AgFJvhnDo1GYVzaaGaHOpgvv2IY9wpincaziO2/xuobdEChAQUWZjNAYVPAA1BEWI4GtwibSUIQrbuMVpWkjVyoemu5a0gcEqL+pqu9X5DwPxz4PkppMd7Iqg16c47Je0RIIzyR8IQSFF6wy8+HdfAUe67TyaEOqnnwDyKogR9g5ibQmN5z5vBGuLicspNb+LTRadg/kjRTxGdwfwe5eJgjvQPha6XvozaDltej4aCy5tdgXMLvc9xxUX/CO1nlB6VRbgEJwjtAF8tFu3iNxOl/9WaYTiGR7x2paipBW9PmXh6UdcV84q5aq1am3v6etfttHHgsmV7nn2lVgQRW3CcommBgLAqdsmSVdXSSsvNNRqjQor7ohlunq7Pv4XNluwA4sALV8T0Vqjf5WBo8Bs36ZAIt5k7gO4UJ6Gut0cjGIXEppcPj6vE4iZUwum47iPQ/qkQUA0Xa+4TD49cpq9lMVrQcrCcidISAqikA6ocJT0laHUx8hTcvWKGlPbF4PyqOmVZ3ppR+Uhldr4+afo+ec96/bWpcq8unHA8zyl3rf3Hlgt7NlcyeGZxa9hqUFxeEwfFUZYxqMsA4w8B5/QHQa+7E1ZfIUgVY82zrIFdIluVvcT3zcn6/GoOFs+KereMYJ040ayvn1hZ2dxTWD72snGYS+Bla2cOgi653WrwCIvJ6uvFUDEps7XXgzRGT+i2Dn+C6ZjwNxUD+c5Kt6Iqmmp4Ld9QNVm9K8bxv1A0zdK0A2w1wbtSwH6giKyhyjzhC3rBtguGCUlZvSrCvhzXpQYcsMAd4E7gWoJBEqcxDCoQxxQYhAsJZCVKXBBZ7nQrqgy18Fse1EJRK2WEWtdVDatrfmJbQv1gtjJ6gVbGLDpXYv0tbVWnSyVesxMF0zQ0qKbZAypGa9+oPWaJtJQRCq6ysCp9jHzG1iiDutAa9IB6/weUq5f01xWIlbSHNzpFrSBAhQhvaUXnes3v1NqB9lNQV0MzTFNXFhffnoLsrU5ZURbeYilq2VGbm5vNFH0Q0kmg0CFcdwmNEHANDTNoDYLQZ2mFxj3qU01OSa3eWNuJJFdpHS1o1zq9QsN6BTKMZvEIs1DgVQPqpJ/MIcWpJsB35+KiUHYKTllVrLcsKErJ1Eyd1e3GnXCP/YEAdaoD36ElAmsTCs6RXoFVtocxpDBJmbJ12iKFV5VBdGr/OukFbuqoFcCxf7tfLlcDzfTcDy4urrQ1R98TS/79APnm5vz8PqFk2i43hGOMRLKM444UjmEkly5a6bPILDsh9hqNQbNiNQr37YsgmqcwH9kGp14M3Fpbd7QfHIPK9LhtH7eRstxH/BpzBnCsxSavGQt7rdVOL803Q0/TMdyeMArAqaZPKq5frfpuhfjm641CwdBN4iU3PWISJQXe9aWiZZcMjbe9RsWq1D2b14y8e6l+qAmtcIO7k1pVABDA+WLkcY9g9lt0tNIfRO1w6ClrkTtR5WqEPFMbYNkHcqqjG4Ubcqj0M0VWgzrUoMFqZVs59+4d1wLEFL+hd/XelD40TEEUNKxf6Ach1z2Dis9XY3B+NFjy/aW9c7VqtUZVnI1UYQc29+/fXFzcRG0gI/NwpLWXyjyaP2Vv70IVlw+GRSc6ys15XI0AABg7aiQXpCei6gVKLe1HMdAV7aMwNEAUT20Q6om/Y9vF4l8kEuKVXsW2nKLuGEBjHzQuq6RpRrmAVzfPVeFnWFMsuXahKIqCrqiga7luEa94uaBpsuXwTFlMZBr2Jse561BXHA5QMeoPEMcbWyKhToCeNlgXrAoQYRASvRsiYpzJ+5VlQCMplA1NK1nFShuvDEcvOpZdmaW1EhAP50LEwyGpnoPLiwoyLwpQT9ctgAKpwNhOLBZsl0eqnUJ8cBl5E2S8MdPcCnwUIMcGvQHtJpVWN5Elv+hPvWyqHEyRKb9M6lY9IzE2Tp1yHHdj88SJzY3Dh4fbSZdGs0NtkGmFNP8ezb/l7cSpd0OxL6MFln0oPHgoj0+h9FNQMAVgawyTiqk2VGcWhUE/URtG22/UCa/4ACgF+ttWxYK//zUuWKsuVuHvJ2udWpVUqx8GEQkSBQ7vT5V8H4hLlC71+ss3b7891ZYVaMuTAAfGGe0NKDqCNEQpCHYciNQ6VYCgdpYB5DNAp3Lb9O23H40h6sQQX7O7tj1JY1OO6e2hs6WVyPb2Xx7u6e9nsHaui3v638p28y7AmOnnpRT/TgLt+jh+bu+AEyXEaS9XA0imlVLI+ZchGn9uqMt/Nh85TyKcmQ6fS+Z0Wd9+OLKSZEbKYzpArIaCnEbhpqjsJWj7c80kPqk6QbUaOFVIgspWKPwQcd26bxPHcUjRr7vnYiw+YGp8qUzpXI76Ose5YfNm+NnkMn13FGVq295ZGWRB24knf6dg5kH8ZjcL8e/l0OHnis4I8Ms3hKCPa+CZeSkF2vhCPC5A/TNeSNkL7adKxlblrwyeaXQap9zLqTXkcmdiz4Rjop1kmdrdG4LKfwdXTWqa9hQC+rTmTDjOxFvQ+rLsoUW+IQhcEidgAUaYNW6RWw+tU8lkBJqkopgNQZ/Zd+HKi2yFSgRr/494/gCvQsZo718W1J7bONW4jYLGwPzuORrL4aM8nQdtIKDesnAGoSzX1xmEDoXXfsp9IhWHK8JRdwccpaJVjKLnXjSw09UIeZh5N4w64Y/L4MTkPG6OxnodmTHcGR33hqVtiPLSGEycFrBM+X/ZDgPJekCMp9VIRdDIK35ruCRSzc08y3+4vn+e9jAjGSa0X6N+HUoHPRxXvpEq4gyW6Wq1Mm9ak5OWyZdr57KlrTMYzmiliZJXLntwyuAZadtmeB5P3aAfQdXNgDJK6aVz1CB4OgNSHtH/zycQxw9lwRriucEOPBdPT8UBDw5HLkSjkB2QVKmBfNiARBO5o5kH1+twyqcBrNGIElm+xGgMB7grwpUv4ZqwsAMO3Uz64Xh8Zz7dEkNIEtjEMfz6+BBUkHh4e97N4nJtB1xSN9VcI/MoKl+Ozku+j4Zwz0NjfJjOw+fr0efW81H4wbsgJX2PptM4xfiF63QsMG5+Amend4fSBwQEKgfAzjiRKOD7OUC+f3v0pvCLsqGzg3RIEX0MIGPERVYWcc+SfdBf4agOtZRoyg9jp1HCBZ7Pwr2sDZbXBmsw6PB89Pc/QqjdvWVRjD7eWaourCxUlzoSEWQCP4ok8iohgkhUQUY7syyQW9TJsiBLouXJgim9Sjs8W9tbre6tzR7WdF7keRgbEb2govsq4U3NbkgygfufcAJAoSzYppyKl60D3EvcERq7e60LcCtoSJWDnUHv4GvlNYx+CmPCxy+r+YIw23Oc3qwg+LXLtqtBp9TVFFGTCsVA5F85OzszWZ92nOn65MzsrLZNFb6qmU6xLPKiW7CIHNNao37R13K3oS2L+gKjaTdAwFaZhzCG0zjCMx4OsDqBL890+wGVmcu4qoJWn8bmVCzSGXSh3UHlMLbGEbJVMCYaikQ07yg6CktKY8LwD9QCge/0XJ53ex1eCGoHwhpbsqASjKOB8SoUwmoc6GVdVIlQ0AT++YIhWpZRsEt74adkFwzLEo1/3gU01Gb4Eg9/MzVARRdRQWSpYWsmTwSBN9SCDtkDQnki8V8U1HJRIILhCAkuKB+aMIK/bogTB+UdK32UDoSZ2KH1Bp0B+RKovTUzV27Ntspz74xZM7eaUsjA7+aLuijJglOFe6p8Wl5tsVAqrdWXh2w6vmJ6xNG2VsTPJaFWAiGMtTOp7/giWeQcar1c4Fa5Q9yV3PVA+7u4V3OvRdshDfhWFHDR/NpRunoE5aaC6+chpYQBglaC8AauucUXBtEL8XX4YvRCNxh0la4SrDxsdTtNXbcadzWLHZp6H6+i2tIUBUOW1Aq2M1kdoN1CVpuiwcuqVGFXJ8Mr9kr0bKOw0Yb/n33Y0vVmp2s172qEqVt4GmCqLeqCosgVAS+kHshRRZXmaZaKza6M8Iq9Ej47ALk+Bf+Au0KMO5VGj8YR9IA7xp3gbuFewd3NvZF7ENoS9iwBVB0rCv+0/t1BFqXoggyK8CA+l+UwZGiYGCQJ9ooy9gnRSosl7ybP7t14802Fm/zi9L7S5SkEh6lbIlxSBDcZ9vgQiQKNy9IUeQMRHF5FCKYfEM22/Zv80uJrbrr5Rusmr7Rvuvi2UWQ3GSYrGWS/kZ0qAtWGK+yVZngVPmMfcJwW+jktQM/Z5fYChnuA44PcUdRM3CB2MfBWfA9aY2saozXC0KsfDh4PCl2F2gOz/4P+tBe0lOmtt5dQz9AFGQNfnv9rUSa6DF0k3Cvt+/kbNx13ycV/1zn/3PP/VSI8WViXxbYonxGFtqQoUlsQH5HwRvuuR+Ifx3WfgDG6Eq5rXeQmuBnoN+dh7DOgcHeKBGNfgC7XSoYTNLrbEdLpRobS6D81SyWz+DogR35Gkh7Fxi3sKcV+QKU9AoDIHwsq9PcWGorL+Dg+IjV6nBfFu3jQwx6hbUB6BHQyvhSB3WZRuc6yoDxJv1+jNoalcITCgmOG67qH1w1nr10aWcdQ26pxKhW07i44hlF3TmEkOHUdH5yJD+dSgWqjOLU1Gr8w5VlSprQGBbTXj6Dq9SN4emdpEZSOQFSkMC3OZVA4oamDVlQi6wwIBgCX2HewzH3cMt07ZrclH+RxVylGuR2AcDud9c56extYzp07c2Z9PbbHsj3NFphlAnQwr0RnYUtDUfxo7M6h6yyhDpPhFzQWNmY6dMGFQ1sSH8EkHDokdOeGQye5TRaieiFzUX3dZWHqRlPuRpyM5qiQrwSO2R6Z9b7l9ei/1zqcsjQzy9UQp3WHOHGj3T7V6ZxiHIb43EoHSUyx4foZwOo5JzE8b8Zst57wYgQj44E+dzlg/A7sC11cQEoDvh4h/mTi4RQPMyKxAxjusLC/K2t9Gjw0SqfvszR1vkjffyV0fjy//wv7aYDR/jTlHapBU2aarrAWukRYqMRF1pjR34+EZ3iBeAIvqsKNN2I8UeEOKrXuwvHKKZq8jfoIRnEFd51EtKihnazGzXIrMN66grsJdIU3cA/RSNIj2EkH7GK4gd5PiQN3db3pvsJIGZrNdncR0Z9dvVFIISxIxf0y1KDPq1ew6F/fJfJZ5nU8z6wic5krocMuSYVPEGeormrcigO+W2nyDoH/xK3oT3lrx3XXLwaHkMzIGOSvG9B/l2rWrYj1Axpkb+0oiWNqdpGPJkkroJMrdCUTytxofjyaLUSMHCH3p5jHbMGo4TOgVLZMykD9kMFMjMVIdNtYZ6J/IwzeSIyIaaDJvg2Dwb0NW698B2OpDYW1JtbWWGo9uZOeF6/Rtdl7uBu5H6D9Rz7cSfow6eY2sDAW+VLSwJCJgt5gY6gKB6jbhHGjMNyAcnBwbOpTU6dz6pJKfY5PN6ERbDyyuZnEka5xU3Rfu7w2MJ0CW+hOh9V54wiUTKAicAcbRIU/6VdB2aoMQxGVf/7/f+ghSZazMCzuCoZWzF8tZTs45hpOBAamxoPy3zYRFOmhTSS9wmQEd57zASfL3FUwfrqBjifDWApo/g1XLOEAQ+kpMeMrrSjaJAyVgtZASbggbArQv8JIC6StH0C9+iv+rwo88dow3rmHV+Qk+cGbnaNIxgW6zZK9r6FLZuXT8hTe6zlX4b3phsCb6o22adr/g5eFqwzpPkEIz6TpGup11Ki+UfTbk3pD3kzf2ZwQxGpBmjbtdTvWG/Zx56Bfw/270NqJ04ZDfZk3NEsgsSp0nmLWJAQqDIVrKERBwJ7e2PTt6/ABFMoAMFRohOus4O+z3Lvuushyhbhc1A87OfM6QxCExPJtZvAJHX5p4N8NWh7OdNDy7houLPRr4Z6FcWoTZObVwEvUt2uCR88znF+2eNCgA5xYXuTRt3IFw3jSePpej3mG4KzNIr+K93sr1G7RgnE828ZsWVY82et1MErxy61ySS2YpZLhVsw7bjEsSVXUzl7JhAGSXVj4vGobJX5KnfaKNVfVXLNQLNWKMHJ/tbSoFFRFBI2IHOKPX3fds5LuFCxHlmp2wSvIv76hmzDUIXtv4GVRkaxCTzXliq+Xq1PVsihbvmVbqnUc2pYkSrzEWyedxK6E63RkjOhAN5Uo+25oiUBjBI3fPd3p0p1QOjj97LUkTdekqb2CpOgmkU1dkYS9PgzaSCBrMv6tzljVyaCpac1gslqcXqXxWP+OrJBJTuNQjuBsUS/MdAnGJdkCAyq6w6CROLJXXv3rtBTSKNfCwiXF/Fl/ynst2idJGY8dtRlMVS1FWQOs6BL8KavT5cl5v4VkN9GESTxek8N5oxCeErcf9IzjKXi6Cm4NhNKBbVRBt/Hk2Vaqa+E+cZ4fKDlAqrKhSMThBVFS3n1b0SsWazM8LwmTBO7vnaKg18r1Ibilgj836aJbWKnsVJ3PAb0Faa5uOL5rTfL4bKansBrJzp+NVEZI0bCOI4qIikpMv6hqnS7Ua3ptqC7I4YFPSWszgCXltxVJ4vmZ2utk9fxztFoh+Ih5SmtVkOZrAGO5WipVy76j1+el3yzIMq3M9Kocs4IzOcepbLwKbawYzsLfyL2Sewv3aE7LZrpq0rJ3eB7OiyvesGSIZqZbqNqU0SQKrRTEPIbc7wwCnOdAlRtXbqAjTABtdZHYposKmBuugaGd0Jfybj5umw6ofXi06bSDg4fFGwTTVFXTFFacmlIQRGWqTMh15OTI7XtpjgYIgiaR4s5Oz717L96gIDToNXukSZKgF9B0Z057xJtUIVtBdIfupsfaV4CmdHc8G+ilqo8bgiLXD+G6hYbHVQzy0OuivRG4iGkXo/J36Nql1YBqFxSlYAow5LMtrRLWIv1kStBUy/SIbWTQ+0RYdVn8Hn4BfS5USgD9SK4trZYKfIyR+IlQ6DbnPUcwbUBeoj48HaMR9Ub5+fOAi/3ct7hV7gB3iDsGmsNdqflRHCOmNqsJ1mg8T2CdrgLXNI4oH9BNLAIFkIIKTqerdDsWP4HTA1TjoKFH4SNmwt2QRJyeEm9QiCRQSEy56M2VzfbemmhrXUHqCLXWlCNWWiUbyNbQLNErTRyqC4ouGX6RNzzfAfzJwpM6cRoV1axZIDZ04Rt0dZXm8yKcShW12N0bqK2FYvGI5FRle3JPTZWrtjxftFx1/7qm2DVRcYKyLhQNXfT0hi8V6zVTmhR1KdKpazQO83K8owed6UKvkoDatqizFZ2dOZpsJhOE8zVHCU7QxFM1vWQGthW2cO9WowR9caOzIZUUdZMv0dVkJX5TVUpS2zahN+7QY3uDsgip2qamQRftuiUJtMKCen9DFOwi4rBoC2LjfrUAQwap9BRtNTo7ntXwhNVJbAFHuRMwgjwD0uYTMa1pzSJun0wN+IF9h6qXKDa408cgwQoOP3GLC8BON70gnO6+TX3VcMUYfo4pNOrQXBUviOa0+t04tU4ZukOrjgiiqIiRRK8QUdBEOrKod1TVlsj14QPe3iCSrapt+vb1bcru5PoNOiDcYifajpaW8LiPofODmF5Po3Qd73yQoXUgi5omyp0Su7y/As9Z64UvKvezLEoNKo0aLt2JRDtLjQg6PYb4V0DmG9R/c4m7kupV6T05htO44mbofhcbn8UHsh9OSx/Bvhhv0WV69BaIKLrM8GxoSho5nI2ffk2QRFXSFEI0TVZUBWdIFgSAXdJkVad3RPlZZgVZZyec9SZo/lhn5o/X8uj6oRuKYaoG9q9C5gYaOC+m7jlpjAsUUDU0nBYHPSl9b5Gwe0nlaUXDemdS9GlJFLMVXQCFMrwhk/yqY41zK47zkyMVD3Wr54lAFkC7lEC/whjQuGZwiR8E/UAJlL7SDVbojuiolaCGLFON6xfQ/7K2Zs/f0Oud3Gtf2QpqBcsq1IKrg2qhWCxUg29VK/dWK/W14vzrbuitnnzdfPFVZnGy9cOtyaIZJxCGQsquiVGoeyDpT3Kv4O7lHuTexf0k9zPcE/FqQta8vYyLTPpCGftkl6+lVt7mPYmCE3tjwUGrKTr/hNZRengyCTT/ZLg2GA6nkrtnkrvnJPE0JuGwhc9kuvERSxL2siyewTfOiPIZtiBZ3GLW2qjcTngIN1WSZ5hZVwytu+ymmDlt98pMuI/NdObVMN77AqFjPpfuuqJQxWJAldYAdO01qpzTTc26VK3dqiy6vmNLGoiwsrNQElQBI0iVLOBsG3ToRWKUJV6WFEE+K8m8IkHJniB4GNZRgftnZQHu8bQL5OPyNbrOCwvzcHeX7u5gedyZm5yaanYCbSegnnNEwfpNUxALf7BL6IQUbC7dRRGh8BCwC4bTnZqcc4JOc+pDuwb4HyxBdL5SEAXzty4YdGpDOk8UaI823asmpfSjf0pnMOwe2KFuhrp4992i/rmsY6B2Hsfy34PxydoaL/0mrqtcoQ4nzCWQxp5gZZW4GTq3NOoRGBVvEVp8n6o6g7VJ6kM77Aj4ixQWokmveY2ktVXjDkm6w1D/SAjdANHhZYU/wICSxdVVUZZAnVX+dlEUF/+W2SzT9W/k1T8l9NNVvz52+svW+tfDibSkribXpNaZtNzYvpopB7/Lc2v4JdYo79imZiSFa871ZD/eb5DGE+wQVg3mOaqcD6GXaF2yeCmxHTCyGYQhAmJfuUx+p1WvxBtGrWYYfMnTMnl/739TrWqxBD/FSjHDEwVugq4kyeS7PaK2MgX9UC6u/jRVXmc8wtJ8sJDHB9u446X54uFRR7wsg3yd+bglb6V5xQZeuSw185hba2U737xOLhI2Rl3x2Gr7XGSsDwHYYLGMYxh7efihsYVQR6K7IyK74JYO6OEEKVCYZrppND1IRGISUucJcXlIi3zAwx8kCO8SwtdBC8yg7c95vsKLInHhGc/jtybhIQk3RJFP89EM1SmYt53fC6jVGVIAJu71gIvzMVBsb7Ay2J65PpoPopBA+OpcXP/7bSE9tk2bTeN4LhfHzI0RY2MHNKRcFJsyhdkfZN6BGGUt4ymYRecfYGADz8cQCMw/kDou8n4KjzVojev5Xotow+92VrfH36ivYpi+Ll9q8zw8o1DRiEUxVEd2Lb+bO7Wc/MaxTUsY7R+HSNJ3mVGCFRiWcbro69KNN0ravFQyNmmBoqHSJQnfSErRQFj+X7IkCN/EcrIyYDGnpEG6Jl06PUIF8hoVyOlioWZXS9LVhvqGj6iGKGnEtzeNUrb8vzHU38NK/p5qtA3lm4Igyd+A78N5BYX6Ak9xe7jZ0POzxxZ8l0J540VeCC6ubg//YbDzNBuPPI0aZOFp+oMuA41GyiFCj9wHzj+37sJvOCZAfx8n3O0b7b7ojXYKxgWnuYe5M2EEPlrr6X4o6+KV6kGciLZajlezd1szFgk7cCX0mvI9BS9xfwj2AbwxYM8mSHfaY9Nm/UE6+yPoAkdAodJU4/zXDfU78jfZDHyb1fhRpi5PsavjuC0rHfLLV5WCUimglkh4//0GXpCSx947h2Fxzj+nGp16tw5/Z+CfNOAfcWaonY5qAOaOZxT0AvtUY1cy0zcehfF/xbZNLfQHcPGqYrOYP0S6mS4VudxtQN71MjtxnBXjXaWrNHA0vM5dzl3H/QD3g9zruB8HvL8vtct2L8FuiMgY392UmhREqFTi92fo3nV0JyX2KIhyUEL3wLX+ICZwetoSyexN971pb5pFZpLmGCY/wtAQ4vXHsa+iG9OGnhBaWFcTkA0EeA9DU5uh2WE0+QSlJiMAUvQ/Exl3Cgt9odhRZ/lb4d6j7P7DIVp7WES3MYRsMS6akuQZSsqzWMRZSs719fWNM4nfPcbzwlVSbZwhoMslvTKuYF3rr+4lma33eNx6j28p7B1ZofMDcuuhaas43WyVSq2ZfeVWGf62ig3PMLxG8d3H/Kpt2G6z+tmlghFcXShUH8Pn8G/49eJWse4b5x73HbPM87xX9CowlvkfIIf2A0zzwAvH0rE4qZKBm8dawiJP94mEnt0vUsknB8naMtBKolWf/szBqw/OzBxsiYoizhzea1uzh684ss8xXFMS5CVZIzIxJdO/t9moTprFqrfmN82iZW618Cv4VNHk5uoVl69N8bXVy483DLHAm7wqLcsgUaff2O8fED3LDT5w9UqhUkj5TBXpGr0eXcnQi6OcUNiCCMN9uki41WW7LFIzY7jz4ogN/ZWXV5su4LHqH6tSZM8Atn8mRGR42gimp4MtPGxUAJOAz7Lp+FdStPeqhcK7klfh72z4Lhy4FNzMN6oIo0iuNF2adkPPRdzqFJ3LyML5r7sPOw8//PCHHsY0qT5M0w8/jHuWhXloIE9LnEd30UNftshz8hpug3pkvJy7E6TqG7j7uQfCFv5B7hPcz3CPc7/IfY77PPdF7le4r3BPcV8Dyd+KApgE6X+4tQy/LW/ZC7LPaPQGryfBaRDCPjbdw1Aty/Drof9cnMkB0j9AWgeIdwDDn6Uyj1/vSWEWuHBnbBoEhuNoGiEONAz4cxz2t4ddappDyPn/5j7qPOye/3bm9E0NTZBaPfqun/kMszz/10CFR/GDzImSZAHy1XQXfxyaj0bohUsAmlaJ/ayG577DfqJz6qcUJ9hPdC65F0jrV3J3x/R+K/ejlOaPch/hPs49xv0y9yT3z7l/CdR+cWndnx5PqHSaBcuBfHcFgxe+7F0kob8etqdRSlLK7cnNjxZ1sUQeR9Q9FH6ag045TNPCC8weyd28CJqf5n6Eexv3Du5d3Hu4n+A+OpbGUWgkuj54HI3bIU0z5zA9cs6n425o13/0UQf+SiP0I1UkT3L8+sidIapdPZZktIRH3WGKraaodXWKTM4widwh2rRH5Dfui93iutSP+AB3GHSqq7gT3EnuZtBpcX3F67k3pSgTtcafC1vjl1H2VkmvdGEtMfJ5Hz5L6bd3IV6VsDWOnC+oTbql8c0RW9/j4f/5/zpeziKVPhT+/5dtWiO2ZHdMa6TUowRu5Ura0iilt2uHo7K3Cm0T22J6lcI1Q7I3krvY136YUvrTO8tet1W60PY4pk/t5RP6xWi+zi6a7nAHe/Vo93rRbTthhTEtezcMMKapF3P0tIC28+E1KmHro/+7aH1K6v0uKH4S6H6PUqh+NKdx3EefPA5s/206YFFTyE/9xO//A8XJ+ee20Ruycgq97HAd2JuGehCUU5GeeJE6Yg94uh1qBsrw+cI0wnHiTrkgJWIb1aHvMk3hQ+H/1ni98B9Ab3g8+h+vPIzVG85//R92ZFQqvvbE0qw/RmWI/XBrQz5d92dsStRXyNvhevj9kShGOzxPRQdPpj8Tt5+tJLkx7m701XdiT64DOantD3fFqby+Gttw1F9HbTjSpEY15/fl9dUlb3ob3ffSjXkuUn1GSfKCDoR2VJ9dt//9j4R2VJrDGDRhO1igHo3xjvLTMM73kmsldc3sT9H6uWS502iacmU7WeWBzj1hWmVrbfe94OPyZ7h/zf0x9++4b3LnuP+X+w/cd4H/4vCmAQauiv4p2XtA9mU0H/RSz6iu77Uk+CQI10eOTQP79YERl+H9TC7LLcq2PWDbbO7J+1KYxwDyG5tmsMDbu4K9H71OeaxPmWoP8ghyGb2qI1do5/9zHkf/NWPbVvRZyJ3xd/D0/DfzWPq/OZnvUsVROMgCPo60zrQGCjrQMN9mBHqOjMdWMNI6Yu52U5xO0w76TsZrkue5y4Cn0HaOXoLMgq0wR1G6/BiNhhbf6bboKmQayTWAW/gUL/D+IP4uSvSiBPruFw1jn9sIxE+Kfr3M24WCzZfrfnxp2ku6JXxSsHR2Oss++f/Y6c/YiVTxWDQcyxNtayiH6FLwzD1JPnBaZR+dYyf2l/gTLtB4M5OxPsa5NNJaKxSQdIaiySdjXVwugYHeFLjowiuncDHh5im6qHCz0zmzDj9beCBKG+6zhy4+2uy02RM4JL76bL3yoXhn6/R+zPQq3TdilF18aZEMbX/9AVl4B/ryPW2UqIvO0yhW3iHIH4h8gq55DCfTPomTDKJcMp7Gl9+Bc7vvEMPXD1Pp80n0RH/smuH9nBDGg+Fup9m9cuhVOt6fn9qHgO0+yOaAPrMziDj7uAsQcUIwBJGtZVLIPqDdFXQ/uzRsCt2lga0dXMvEJMTNHJLNivupTYyD4+HGB5GEbkf7IpRKJrszm971h264c5qE/lVwwHkU29xC6OEA8L452mPnl/GNX6axxtNrNWoh/bNRExFiepXG+Joyuv05jZv4ZVl8O5b4FAILGJTFp7Cwt4vyy0Nl6JrH0Ovmk4Tt3FWCN+H1t2M1346PnxJl6acjDpD4x8KdXyIY6yH9s5oarh2kV2nO7QTpDVQS+r81BaLEIKSFpyDEedzHdgYQ96MKAeTDecca9NNXUn/MYWjYRKvi+cyDps+u2Q4mF8gANiF2yALtkyM88HTMAvIwB7wplwMi3CoA+xUj9EeKZ5yY491A6HYt6b2G483aujvAQLcuSMHwnZGa2mzxK4lYvX1nslVxWM9YJijQ5nCdzfCC8Wh1crRiQ2l1aK2OQJ8Rb/7ZSu0FNkg1n4uEGxduZABfGwd30t6GZZmfI8u6o9vh0SWpSXuzd2xuS6JkZ7hZlsc1t1EYh/qECTLaJwzGbK22iwaHMD52gSDGbe4iZO5gaPOqaN+hF1zm5re4ZP94JYI9g18l3AwpvfMOq90E8bJbICVt7oJl/zbyZXxtU32xEsq6kb7Yz7a3qGYW3dMpvVt60vK2ERgXBHpMpxzBmKfrDPcj4arujOTOaXvUfWR7XUdOqTrf2ZWqk/QjOKee1xdHmz5l++LwJWT2TLvbhaJz4QBm2t2F93UX3PAuuq/L13Z4GptngcYKm+a4NuvZikRmi2roSpxJonQVL/CCQX/Qp27p4vsl6f3h+c0PPGA/rGkPPxsuzR/w/CBJXr64KCvLHxfFjy8rYTuPy2vvpryu0h2MlDn7wD5apv3Avgfyy92z5MTlyovOIpYtxWVL4ei9zeL4BINACejSCaXf9dAny89CNXhMEDb3PVCF4mycoH+brr9XluX3CcL74EQCnt/nLBlQTGH548vw9/FzorjGK5+RNX6Nhz9N/ozCh/u9JeVPJ6VvX/IDY0td3L7EdPt2qT8denXSELjTlDtx26DAm4bBEw6qrtbkPm+o0HEafF/Weuef0047p8mCci0vPIMOL88I/LXK7bJcoAMlIZP33vzclV6Uv5LxBB4q65rTGi1Ny8TiHC56A5e9rg+FB43jKC9QnDJrzLDfcS5kXgvAmiQA31am2GuysP3CNafPXDMP8G1ppWapDD9wejQLmQvDR/epp2IfoIXYDsm5KJRCwoaOULicESNbdoNpb3oAJbAC0XGJ/+A184D0+R66LpG2ki7mEA5SN2hMVp36Fy6QxXC2Kmv1hzJpgQFbJEc9DqHK4Yq7mNt7Qb87CAZLpI/hqoD/gkE34sWPSNLV0uV4EI8fF+GEF6urPX111Vld1Xurqxok9F6vd6bX+997ZC/PzwrydR1BukkWZnm+06E3bpKEznWycE+z2bQnLms2L5uwIVm6rHnwYPOy65rNic+yuwe5dIzpadABcNeFfqhT9VlcCTmMf+DTO1idgRdKf49FlVjr9SNd0WO+Z7gIaoAmgQFawKDaaCZQup7XMAuS4vsoIH1fkQrmX4/cefNkYWLv3onCpBMlPi4I9ZliwfWDhm1UzWLT9x2rOFOX6X3L8f1m0awadiPwnALcvybzNU2kxxfTVNd5AWo5G8KOq7cY7L89cudCYU/5E27nh4KruyKrawwPaJveqO9fK53qB0MTPV0vie0mjUuHxlrmgJp2Q202o+P6bc5tT8P/ucvdU+7l559Ln1hPckCU6AJOibSTtVsdungTbmht+NnswM8T7Xac7nROs6tE7tU4n5tCWeOGSwmwwYVLWvts24pwza4SDbqUmVb3YdM+btofVpQP2+Zx21yHUjekt9DtID/G8x+jq3FLRg3aT6dmlDTTdtgC0WfoYOq+2dm0r2GNq9Kdsg6noUiGeMOA4D7XUfgwnzkdo2SAJwyqcGfKGKzu29lesMrDcHwXz79LCsHbosBspeF79/Q9qK/cM82fksTJGUJmJulS8Miexz1L1wi2QU4dwt1hwkhHoV6f2CZAUYp2Vgd5zdYUoYc6BkxcicepLIAnXdC7ukiSrXOj5XPfi9fS/YMg1NAyVReUr+CAqY6j1vvKrTJd3lduPRvrWKK8lXEPfVBQ4W1Bh0/3oppVx3GrA19iPeEUz80N1+2WF7Z2Cm7DceT7qmTZmxTeLExefF3derlc5+L1tv829DHGnegO0DHPIh0rBFGcw27kbY2bmuOdLgbLhRtBtm6PM7frU2yK5c/Z1W+zeJKfYXEqTybVeCZczfgjGW/eIyysp84CTippAim58B77fiAOqXFhgIf4v0D4GdK12B4+vMb2AayHhT6uLMJIN73NVpDZcyvDgemLQbI9MA1JmlwEyVI+RAZeoNXQL5+jYW/pgW08L4kjrPlskvwD4E3Kk4LyJI9HGa+/KChCHe0cNeGLMI6pUd7jmT8tzf3duZmdyhT4uqFMcCVhnZ/PFohNAa5RZwrxqMLoA1csHuJOcC+DfmyTezuO26IQncw/eoYGMxlcGpSi9/Di9HSQVL/8AmP2FOa/OO0mtDv3QiMYfrRwLKzQPREmuC70Teh3fi130zCvxqs3okRMgFa8k1/YEpXwHGAwNLTthOcUIx5nDTDTKP+E1eFXWKP8GDu9m7XNj7NTit9+IPPRK9L5bWS+ETL5cSFfKXT/xajOB0ALP8HdzGIR5PLVC1D9UaZpXhwWRnnjSxeJDIna8VYIRjHrABZOcqcAA3RpDoUcZS7dxzywyPAtOOD+1DJWd4BBdDur7JbMbCIYsQLu4fQn3gvtJYvkgFMuO8iYXhB40AbalmFY2Ieh7sur8r0CSyKb0kd7gamb5TKGKxbotz/uNitisQiVK9jfdfev7nfpniODQwPcAmWv1e1aaDopzHRmCoKk6gJLYsNiz6BBNE+ebCIQ4ef3Fj3BaVaF12Ozer1QZvaHIdy87AXHTdSrff84WfWnPG/Kf6HQgRvaTPlsn9fQ1rsELadC14dxbZAMymCt0+35EjSOHu622u3gOpQuEjtodRSLhKuTJghZmDnc3iPK+r3S+a/PXjlXk5WSbaivMU+d8DdedpX9AdMoOgPb96eg0K325fPSe6ym7rizV83dIxJREbXXNOsn2rPKyiyRlNo6AjblxXDhmtNj3FU0ghMLmNFbXjlCozKhVQZUbIXF81oGevS6MlAhwL3f6B7qMJrrBZ3uMlADl6oF+5cHdLNYDFhHQwZgMJH+ah8eLfuTSOcvCZLu6ro77Uq8RNzrFpZusK19q3urkkR+hRRLl8+qCl8yLc1oeqauqHrB1pRgvv41SRZ4vjJr8ZKA88/1/Q1fcrUCX9JK7wBZrfKkPO3aRU3nW3ODhZIXzNalgtTcM71nnyiIxCg5+/bt0YlEVEkRiDPxWZ4nRJvyBIkIghLMVkTBP1otqDyoKVTEcdzz3yNdwM+raQzIABcL8Yv8YYJWO2DBowSxBbWVJ3moG0oyrHERKYh17fnwEkVNd3ktwLnyGWWJB+Rg/IQDhKEDc+j8d6UkWSJoxldcd7hFCC8VZUuRCBGK0C2KllJSLGBbVZYAZNvEYCt63bFVXdIkuVzUWq6kKorAwxBY0gsuz4ta2ZINRfxb0TNbHal9YEKZPdYmuq5Xypol84puSSXdKQkFWRUF4GQJiilUIAsikmJhr6srosAbpTLgGgPPFR1DEmUrsLWiHSBuKikdDXl6GUZk6Hn5Gu5+7ke593If5R7n/hn3Ze53QBP9U+4vuf/E/XdikArZg1HkUt2Cm9oeLVE1VvzuGmLHIshnawG9kGm6G0zQFVvIexhdKUqnjPTDsVBw9S8bdqBOEo5A1hQchbDQyBYZsCEJXQ3WDVhRNA5pnOwmhuvOapC+QIio+XIN4WEphRp2fTRsdgadJI2F8msTfJGXO90gAwGLKUoh2Jq7anb2qlvwsCiIQvx3DS/CU9xvAY4/zMOJFyQe0p+s8LgzBj0+k0r/Kc83eZ4eziXJsxXIB14Q+GcqAr4p8uSjuJkD7s8BR/F+aBfYyiBr4SRwBMaQ50XhWJL8cfhYxrXkCvkCwaOA17+vCUTkNYEX/yOkBAEv/xPPa1CcoPHC3xBIC/BAI+K/ASa/7vVYFXriDwJj81A+PR6mF5KI6RAPcCBeVAH+L+PUnxDCKoDH38ELDCcP6Y/HtRHIaXpk9VvgKTJ5djoQo1MQT0fYFIXPkhCBePxdvBAkAZJ7o6oQ/u+imhD+DwkgQKQI+TyPRwGv3xLWQBKPxSn6ZYjEy1PphyDb+05g/emJzBABsIZtEY5/C0eKTZ6PYsvj/FAHzhMYRpLFZcHf7qIAkgVl0xquecd9S9ZWyBxk6N0w41ahPrJWaDYlXRFERYOhl2SWFVEvTNw9z8sE/oX9D+5xNU01oI9ToKayoomiUdBkhxCzUmzfXuNT9meEYY27krsa99/eFSxKpzuj0MhmPg10SgPJQAo/LPLLg+XdAnsWJKCC8ek0o16TeFOU7ELtWNC+vqJr8i1X7LIu/x7Ev6IWdJkncklRLJ5XCo079zaubhb8wpUHkrmuEtQ1oHFEoDP04iDEaNZY5LHXO8JjbNYlTZJqfNF4v1Hka5KkCY3F1cWGzVfa8+0Kf1aWPq9blv55SWZb9Xgt1215kX0tKmNuh1ImSTj2WiLbl+dUJfH9wF+VMQU7n4Z+RPx0EsexDdr8ldwPc5y7iCEnLOL1QMmCbhz3zplRAq/lHeH7zMzpR5N9/V68D0Q8PenLCm4oENo/O5GJLto4wmtlvcqgG7iLGApRC9bTVkEligF60HrwkdsqXV8LJ/Y0ZgDV6NQekUXt3ts0UZJHHkEb87ukIYG+VivMOM5MoQY6u+QUize4Twq1uQp8iq/D266M68xNFmAO8PTUky7cp1fwEPJySiZ7V5Qrc7VkT6w93Bu409xbuXfhvAP0EaCXDqjkBhWpR+2Qa2nzcNpMjAhBZwQ2MIwM4GkzcdpwzDAd9FbpamWMgYg2fSiBX6XxzYBCtwgKRZYcInAsvuiOPONQhlgXhXbTabYLpneZZxZQBImANSfEpEvG4obx1Hi8ukADQXloozkvbm2J880N127q5bLexEA9RqhH4H5Fs8B9t3L3cA9yj3Af436J+1Xud4e0he2i2HSzroCtEtvgwmvlBBXtjV6jY2l8raSfgwac836T7Px+EIX+/g7dNKw1WSpN1hE71Nca1+PjZLt7lu7Kh2EnDgClGqdUfZE5YwMCO7Hvf4f5ZtNvHwmfEynzgrzt8xCA1oRzKiqf3YeS6fJ+DAsgPnz+uSVR2jDUZ5NQp3mpA8kyh7zDevZ1jCZBA6Wm6d2EMeEJ7g7u9dzbuJ/gHuOe5H5jmN5se4Eoetfa4J8IkZehJ1F4X0ebUVEqiH94qSl8Kwz6eKFtoCXLknj5P/5j0LfCrY606Cx902E3/omQ1qDTZ9huz11qom6w6B3/KG11D3eMu4l7FbfJvZP7Ke4XuH/B/TaNZE9iE2fK1NtnHqPUkKP8E6FrRVD5BvoImYBlE+0/37409D1DaUuheDOOaVRZMFfpO6smGrC+fanIzZkxvdnuRhvcnaDp/Cj3QRrV9MvcV1PxqV6CxAy2mRkKA/l0Lg1JH03a7PFMqFJSvTTEvDXh6zLoeTQQHhQWbuWsZ3SuW7jXgM7/bu6nuc9wv8L9q4vRuDpoIswsGAGiDGS2O0orvdAyCvI+uulGljWG3x8OCp/9vtsf5o3dKFxW0d1j8pGUlQSLb4ryuqq3U6Hw15N1mMdTXPFo6pXjMdmbCVnIvQlf7Kh3vV9ybEGIPxWdQBKPG+p3chgiFX/+eMwGjaRcLeGNpeQ7jsvQvMldw72cuxdGMO/jPgEt+9d3rXW9pAmdr3Rdeirn6l6XmsYV7niqZf8itOxdaF4vafIOK16XnrBp/etS03MPdwN3insz92PcT3I/z30RV21fmPb1kqbtOOXrUtF4VzrYpSB5SueeS42OP8B9ivscjJ5+K6WBvfQIumsF7FKR9Znt9bAXnaDbq2GhT/NiDq2/xf3tS5vSdG4M4/jSpX8yvZCLdKdHH2fkOvSCTh9H/n70Yg3nuCInoLUBcgwLo3lpGeMhous8IYYkSLoo8LwoQ6H0wPOCqMNtgxBe1/HA3iGCKAvoJCTI9ILe5udoIM4SuUT8VB8BgFxURdbCqKJGJG9wj68KjAXWuWu527kfiu1xv5PiQtzsKvhHZbrhDYJz9++SU6uBw3WUjLcK0A55TZp+URiqkeTRoTsAGsqGaqyrBlrfvSkfhI7BmOQjhmRPlCTtBWYNLc7kuBptBHqK6CoTOkXfL7KUqlOaP/89aIW4LsfI0xTbHYsPBop/hEdvFB59HtZewooEEa3piqDdcKwwE4ivNFszVU2vzkzXVPUnLqlUeb0mVKat3jFdDGZmCppWnQFI4Dj9a5dGfdhBX8yO8Wi8+2SxIPrHU3fsly6ZX0L6YqJXvJlt1MGDuiihtoiDvt+/RNqivo2u+K9e2vrDECuinSFcuhqyYbQzwKUdBiQcJtExAFX+TbopJk0L5iXq6bcSDrtzBAaTwpb44e7jqikOeJhywD+j62O8El1VFQVGwFDSpTz6XequezBk2gVa6uoBFnGebmb/5IvXPx9PjLdR9HpKmONsAeTSi9AlN0bGeKHeP2pn/0vu717iVvYXSfV/0Y3yx14Unf/Ft+W/8Ep/ovOP8t/n0efiJc1/F6b1v+hspW+v7r/4/HFqR33fHNL3c2blt9X4X4JcsJPK/6KTfXtd/5JM1+48P39hGv9LkMwvhfn5Xej6l4DcCa3z5uZf6jL7wtT9F52kG7vV8198wu5G0TdiPT+Jh5y09C+kohi9VPT5sOvA7bZYIOVSK974ulXauCTK/ZcoLxlw0M+us5HF915c3f5MshkTBjaneycvEZlzQn0rP3ZJsrMCi1rOAQLp3t9KFL2OulzE+3r3vBaG/sQIJti8MQatEoYC9XKe4T36DY14wu6TqiZuSeQ+XpTEJ0XZobEhvus4bYzrDYcn3Q0Wn7XjOPSwDuk2PeFj0pIkfkOQDu4hokjpwIJR3EbjgjvOWfyGfU3DG69jzqdclgcgoxzjY4Kb4faDPrLOHYL+60ruWu566MVu5W7nfhA4/B7uh7g3Ap8/CG/HvBRtfB7tm457xq8VCQakjpiyVyqSCBPheZBzHWMm/E+nMbow8UQaIgPQ8ySk+DdIW+Ljp045HbpsuPPIXRRhbXrcoLXt0CNiMbzRTiUAb3sFKR2844cEkew5KAkb/C9Nvpx5ZBPu8gdDLN4VY89lyEM8OkgELonDEK+RXwVewn3PuEE8A4dLDDOCN/MEVL1FYvETPMZW2W697taeQ63WoWvxsCdZlzRXXahSl3I4T/YmyGTvSA9Ggr3JkSW6+9nuYm6YBxzcZE3PepgHHJw4DzgeGFmgu8G2I0via+D6k1XuCuCVV3P3cW/FNZVyi24rNsooGJWCMQzuAzhY6+FK0iZKqO7aCm5F2Wl1ZBByfjATtjrc3JiFFOl24j3eBlGiK4e+ExhvGK0IukoDTWziUdJ0FAG+vbS4vGD7qvEf5m6bpXJp/vZZWVLu2DeLtJ59BT3N323YBvxtsdMZYqgYpRgPT6rGcaMsdxKO6Sgu3EJtv2bXeGiFcDLUGVEk6MdPRF2zICmiJBXjxBlV1yFvNTpBMTA01CMeQjxirIgmtwLS6C3cT9BYEUPb3HUtErmLLJE8HOG6ns5aD7C54svdThB2BLhzWafFPmB9CAqywBsWazh463cZVaJOB1cIncog53SIGEN1szjcu3dWViSZ4VeeuyOLfyCPJsXkkVX9zP55vRAGlzP1fTiCsg0YPFHU6JCyKY42R3HpikTTJUnXiHhqhA7tUXrJZeMZiVjGZw0YeH9Ot4gUrylievs8WwucnjYPev3FKK4NaFCDPvBYuCCELCRN56MFh1TIVNCcnpoIpiDpFEqum1o6iAufvfqeqfLUHgz2Vaz6bkCXbQqp8qvcIL1HHrR9KQNOAkbPi8HoAZBea5Gk2jSppiADOEohdBNT000GXb4cKVYC168WMQoZhbTu8YViCke4F14UcSiloSjbwtWxYfz7LdwV9U25oJAF3/4L3E70XNE/lQ9AEuutCeUfjqMcjilxeOeIdjZuY/+xXDg+SyGgsJCqoZxDVj2nGGfzQDoQvggVQ3MDfZdLbMC47+oU9KXJKPAj3Kczo4IwCpKXYDEbWZIuT5aDIU1P8bLPh1VFZSi/YOj5YOi5FwypimxPW7rvdidU1/8nde8CJclVHQjGi/8vMyMzMiIyq7IyqzKrMru7fl2VlZnVtNStbiS1UEniI4mPoEt8ZBqEBN3YmKENI6CFESAZf4bygD+Sdwyox/gnMDMetLO2B9kzuz7C3jUDY3t93Mwe48FnxrNLz35Y09p734t/RlZlVpdYW+qKjIiMjHffvffdd+99990b09ljqhbx1bIhrTCm/ukZqiLeDB2+SoRFfQGfw8PLQ5WwG+l9p0Ll/UdjGmJ4M/bkuUijBA0RE8TgIbTPFcrD8Tomj3CfBL39N/3KtJEyAzNxyq4aVd/E19v3ur7OeinALWlDgLIdLcaK+Q18ymWSLfs0pu5nHY5l/RSsgtjgsKOhuxoQkJl29PGFUF2Pzi6N+a296dMODkk5iTnHNnA0BcHQtIovyzZG73i9OZ/RO0oUiUdD8DBqsATYApmDEb87V679CRVObzzGq0INU0a4a4IqsUxtuluw7YJLSwzr3336aejp+U10O2A+ijVBUiO4lumYX6PZ0FnKHd+5Dq3S4CtW8jisSRtljKU1aYNh+Yc8TwGh5aoBkI9iBRtVtoOBAkAvUsR/TlDhSX5GwCrY68KloBIygPw8DqivUbC3voJ0+kpYExRx16R5Yu/cFX9BgFgMkcBvoFjimtVaPijeChodGjGy0usP0oj9IS1nlnLmR3z8fiBfJDmia0ZOyOk5u5xfKN+WM3JmLgPTv2o6pukat1KEty1D1l1bUUt1e70689YHXiNrOVWJ591UQdYeBn37Hsxm2AKVsz9wBgzWjZZfaniwRjPbdEJFegKivM8EOI0WKeZL5YV82YYOCDlD08mRXMmEf4+OItIrH1DUnCq/uqJbtal1u1FUFdvV5CXdNFzTfHx3mkV6NfI71qA4xp3ZlWpBB+YUt8/IRyu9+tUqHOwVljxpykqr1xoaCGziW7pPool29FzuQ0eOrBzfMsHgUjWsPJ8xJBDqyz2iqZIiGncumk3jgaM2MWVRi+wCrFXj0UoaN3N30ZrEmfDQ+thYHhu+moA2r00CucGSBPG53MdHEeWeRXPOZGBKegkGsSa95c5P7E6LpOzpjil7UpCPEj2nQ/fHSKnzM5FQjsmbAmgYLxmuwzUB9p6P3vv4KHw9E0rkJ3ZHEhflQ8B83vFK7yk45nph1fXTyWax+iI2jSXLk21d9nGSosXamLRI5OMdRYlkHt6R1PhgIgNwBA9mCxgk4YmrWwFUCkLFEqNkQeXryhSwTSLTufZSNmCIGOv5ELivICE+rJVmSmXHKcNHCler4/JtnQT55EZh6itbGPq/BawxEkuvp6kGVTk5R5q0VlXAs74iMz7DnpPFoOWFUQzL6qnLX96DW5UYbmaAcl2Yu1/OPbwbjhqkNfCCDAowu8Rw1hp0vVaH+vXWfHsErGnqcvdYdYa1hJmCCWVxKuqkMcwX6oV/bti6XtZ7PrL/LtfKzef1hUdygqGZhVxJ0xfQKhZMJV8s5hVTIKZdA+t5mBSPLC8vGvmcKZn5vHkzpcvqAw/UV+/UJTmX2zhq69rRuyVF10xZLhUVy1Yk4458wYz5I5ZoZbsGd4Lb4h7ifpTjThIszt5SBh5gA706rSb17rBp1ul60KsW63MLrbGY8byGGkM8FH0C0h/VF/T8fK51BBD0UE7XSrmCqRlC7oiig2Zh1WyTRAgxNM0ADOo/O4pJXluvP/DAPUtL6qqm26vdXF6ByQD+clZ+S5cUuygXEReafm/eFBF5Yi73U3vKv+R4OznmeHP8AecnXwrSTiBSRo2/J2ZwFGC+PbawLO2isr63RmLPyejaTI7JGljUZ/ycsUGGDB8UOQBlAkLtiFIauleMIsPlCCZxBkumwA/20GX5GI73nIlDzPqwMcU1A6vbGPO0TXF7ni4ZDGPz/MJZHHULCP9Zw0J7Msq3roba/4a/zqf4qByMj7nLhnr2rGrsbCEwW6sjkaYabaNuFIzn92JIOcGPXe6l3N2YV24/2kvSFN3oU2s4chD2Bt1kWaJRnHsxNNpvCPWe38ky9MdRhjKXmmZidi4X10OZ3X8T9ybMG75XtdG0tT9Uz2h/alZs3XE7ZmmTyKuxsrciZmeY0LHDMxPKqRvH5AhvQIPM/KorCssqi6rLKFr/iuNgVmjXxfVTx8G1VNcVBWMkaT8APwDL13ExwSP8QFIF1xF1ISmvprkbuFtpjQU0r7NA2piAOD8sIGzDcAojCfE5QWBwug4GILguhh44Lq9+bC/ER/UwZtHXPFpDHoLy9ChghjXlVKNCrM2jtDrDXq16KdVVYeEAwQ7k9UEGMP/6D8FulP5QkuUeYmPNRR9JDbNAjoAv5nt6J1J7DZN7wi8ouJFcLXLrdEdEzKsSOHP2pnHaO5oa0oGzJfD6ZDhbKr6fy1C+6VfsgcPP8Fj4JnQD7WR3cMFQ6d5UOLTDsckl/RYYJ/xK7j6ce32Py56dGiJOlpcD1K+O7wjp/gZzxPzQbjR7VcqxkSPFQ9TpkXuI+WJ+Z08i/suZ6rpdL6GHQ5cN663o+VBek5C/gZ/mPu7Bg/XU7EHnffhvMul+4gHWqaphxTu7yNw5T07GBjG8zNIs1SjT7tnP6BzD2bPrgF0d6fHZe+i+Ptv3E9kOke8HYxx38f7Uyfjenz3oPYlPKJPQp+K9sUURO/mWO39xMgIn5e5N+6Fsqp+7UvFwqA2NQbatmD8pkrUFf8VqHx6lPSiyu58pkwZPhv2ZcGBF9kEj7fHI9MZke+niXphpxK+EmB7heVmIoTPhD1pN61bZ/qAktry9vEILjOII0flxHEOnQk35RKp2lZiA9WR6VSAT2qxgszjp9/RpGUqwZrrg01oSt8fpx4JPbkP9aqTv3hPvUnLM3bCfMReFVuw+3n6Shi6inTvGeLsU84VF482ka9l3+uMtcLpd92Db3UeWOdjO+YVB/t2Ec1gk5wVfetzGvYG7CD3ykp6yydWage9kynIw7eJdarbvjBxov7UbAf/Y9yftxHxJlWFHkqV/Ju5D+709af3r6Fm686im20c3cjlZ0mXdLOTvMCTFtpRiSZZNTUe8qZn+tfdzj/+gPWx7sNNB+d0yGe8WRNa9y8tqDF/ohhvC2L15g+JfMnO/fD3z8B0TWV1+FIUv+phoSGbdypARlUg8vy/uoGNOsVHS4nQopN+EXyZ9dkm5wfSJs+P0ZA/a0ooyo7yPWV3LFh5D/r5Rncyk0Wa6tzUar5Hs7+b+LFeWV6mnrIA9hOXrdhXptyBoZ58murq1pY40rONqlGEZ7S1VJ20jbtcx+mD9lQOgUOROZGQalyoXE77EyQiC/sUZ9HUO2ylBRNP1a7PpbQzJUZcng3jA9V6z8ZtDt1i0r+CZhHfQd5hNphzH3hBFwshJ/6KSiZ8PHRTt93JRxl2w7cR1ptMoW9eexD85ESutZkQWtbODkrghWb21Hy6jBewyt7PsykAfzHAA4vkY/PKmYZclPU/IMPRZ3gG60XV6LffgmEl8mdmurcC1me7Pz0006U5u++7Vs3FZeSLujMGpcCWuxnbpz+GOxnCNvjcICvM5bebivvY9P2L1CouDxivLvfa952lzPwutFDAaNLADWSzoYThv7dHH0AlIlCuhzfTdyFx6nkZGG/F42dtkXZd/V9E05cex1YIRj9VVca9L0d/8Mxc1TX/pu+hZDGaJGVox/7RC60P72JAAG2HOUZ9uXRdNpBhK6LLZeQraBQVX0ChadrbbANUl7M4dhC6aiQm8HAL+GAMzLlW2nEG319oFQQyEnfP4mY2luxCGhc0Fiqn43MbovwBW8OYeXKCEhRrDimlKmZVqlEdwyCVGm22fNT7lR7Rn8s0mI3Kd/aQNygVextbyAn5a545jvffxuUpx/ZPhO7sz3KvZx0rialcu3CSs48cSl3qY0zjZB6xEdj/3Nu4CWo7j96c7dBL2pxt2dehEGf3zEVg4xzp8U/QBnfolhX7cNPZ3u+Ir/i9Alo9CkvrcZB/xf0ld+QjdUT6mxMW1vpYXrPANaRjZUheDkkrXvkeFb0xZ2kX02rZqHHsaR+f7QjWA45I6M8J9AmvX7B9yur2W7Tjqgbq8N/TnJfHcOVp8GT/G7UAbdBiYP9p0+0hC/zvi7+b/Ie49B0SBIZ0vreO1UkrgRCSLaXsLMRVvc99E3UvLS+l4R2gc937wtHc3x4I8pqNh/cx5boXGcIRLT4EsCupZ4/pjp4U1k1pKKP4TmTafq7Vr8O/JUJI4Fgxmawn+DMsUWXXTy6X6PG56hsMT5enpTq12yrXO0yD+CwWX7QiDeYo5DVei/dG+jvzCC/56WhFXkUNoPTmACCPMBn2KyVV/+wENPLswtzoH/zYrs7Nw4ml5hz+uFYvacd7JP45YvMq+eTmhD87a+SnR0B/XDXEqb7uFC5ZL+T3R/gqM2jOsvqoPRzhDeqPg8GCUdlJellBCd1gnmm0f2m234cK/nWFov3vqOUN9HOkIByxHujo7m2dP+x3xLLxwzwx35Jcfn3nVm5jCAIe63+HNAn2esgTjC+4q53Gc76JPd6bnWo+noAJOSzaGmyQFWttxiTS4AldBPXPQH3gu7XqBbuUJdxd7wsB+XiXhG998k6q61jv6zxaevVkzY+9VpKIGHAM/Na79P3FffgPgPcQtoV6VbsVjo0vp+Fzt+QGJA6nTGyjplnP3qobwedVQ7s+9w3I1hWinTr1qCA4bEChJH5d1QCN09rxuSb8w86qZr4VwCTE8YraEkbgcAFd0UpP/MH6/eerUMz7FQZsfQnZh5vGZJqMpHmJzjAKtD2jt6lfT3amxwKaTBI8N4lJNebdB72Xuzg2LCQdbYxS3YlmSuqRKllVxFeO7mdLg9TZKippd8kVBqX6HX+MWoQcluliQ5ULRUBYyhMMllBqdaTvKWHCOxb3GeQFl2iFuDUYoNwDx1O0BvINQxMrNTivAgW8ldPtuuL/WC/sHfd2utCynWf5YO1cq5dq1m2t34ImiqyBKc7WbP8sqil+ZWuxi/anu4tROYapgl1u327n353C7NH7QvaJkhcF5Itqz7Nsdc5R3O1jHa52mr1qMzA2sWzpIO0Qeky35vRLR1Z6hgnLdA2VZeik9pQdSkeVHpILB2jUK0oP0JCH3WZvzdNf76HY7bJUQJ6nukD7acrpZgPzde9/bU41tQ300gujC9vYQUOYjj7AZaTuEzrZDvl0ihziDs2Gu7ODOS9+VgfQZdOiGpgLxEpnHaUHfnkcr8n7NmlspPmjNrhYLfaPhGv1XRxvBDWdqyinh4Q+KK3PWg3h4b99wG0Zfi/Z5l4XGkYbwrnfRj8C2PEJaIMequE6B6YlohrEVvt8dnIAPuGp+JN/p1AwjD5/tGV3/7YGuKu7MjNH/yEfyul7rdOAbw4DPvjEz46iq0U+M0x6dUe4GLYqDVyKysTQr1tqjWI+2lAMD43JHK9hUvoEAMaGXsgNogv0Bs1kBb2y0yy1gcBnm8VXZy/+jvCcXeEnReJngBuW2IC+dWKLJBTSdyLymSHyFbUn+KtPofwxJhdmm1I+UBPnjslDiZTm32dzMyfJ3cpaVa0m8aKoNSVSNskKXNKs8X6XKEJiMhipKDdUUeenVSY2/HWj7vXlJmpc0wvMktp9G8feHL3Nv4S6xquZs9g9OEn1VZJduA++DDAOkdfaDz5OAJcyBAQe6zMQ2mvOdtl+ReAuRYhnP+rvDQ7S8ERHS2ezIMg8IekAeF80vUfNCQTIUohSMU6+8ySjAmSHlxbx6yTeHVf8zNIxuBTwJgobomgTzy7rSMmRBmZVUoygIxDJUaVYRZKOl6HH/gAL8PgsYP8ndgRXFF5JKKtspGs0YSpCRBR9ZIZ2hyLXwawUDnYa+JhZCfBUPpmWZV+nhnCyeRb0aDjUaeyboGGjHu4LSGP3VVVl8Gr+Cg41b7IvEosdTVAYTqSyoWLhVx1A2wRVozXYJxEvydmxsMjy8hLt9Miw02058jTsV8dDL7HEtgl0Wz4eH4N6orr2PTS9Nf0n7zVlrgbjiWqMakl/6MUPZB/gRwk6bFl+Bg4PS/4KaK+TUole8NwIU4D7Dy/yt64IsrEnic2pOUXIqfNWPw1UC+Od5wt86B4cl/TIuHqhDeEVN+nXcmyfFbi/OcAlUd4Ka7E6gpDhBPolMrJ/29+BewtvDZzaruhE/jiLEeWbsdH1Wuy8kCPvsJr/O4LEzk440ZyTD7c1gw6y219hZZB1Y9PsT2Qwi9y0uD7yFETDH0SZE6dl87D5UEL4k6SIR75NKrz8nF3QZ1NZzcjwuuIDWQXE4xgbjbjF3p9KKshRsyZK4JajClijJO7HN9D9riveI8M8kyTUVg+nfg3bfAz2PCZ09MiXcjK/2m/lkdn6EL0A7hLb465lJEfgQJzzMW9ygq3Q82heawiBP3Bu+dN/bACFShJ/nzwF2ZB9BIV65r8FbEK+YIuZG1L4Rr+XbIkSmUJzE63QGXns0uRMtqxR17jlDukcQ7pGMGErbOxGuOS7m28c9BUtwnuLT4agoZoXRtogSoEchoWFwRvabHbG9/juCHMGAzfMhTnj08w96itdpb7AS5jOoELafPXcfohHMIxnwE6IZkKNLFEk+Xv/Gx6si00mfVVov/2/XgdeyC/TdwOyzToTXc1l4jbHwvvBKbyO4gNtMvH56f3j9G4pX5NeepwxoX6iJXif9C2+9L+LOYeaNy4Fv+nilWSROYBredloO/PEoOZCF1y7V49AAcGNiIMabMdQeM8R7BeFe0dgXXump31YmXr8ax9sI3P47yYchxCvFiS8HOsogtLdgDu4Po3I7LQeCms9T0Ae0Eu6iazUId4NCzwxXFlwQnGHRbizy3MFMeXniu8pCD58Sz9Tglml+E0etyYLNXEeFS5bjzEJ/bEEiNSKLf6oQSdhiWYmMS0znbWwKNGmDITrrPMwNVZgg6p8SReaLYv9EcUdU6oL4XbZIoLCPx3AjgagLorMmyErkE8c+FmgetpfR3Q/BFgya2Blsv4l63emiiZbq+dcxweE6XSyuAfT/ZLyOL1f/p+qPJTv/W6glrtFVY1A/f36Xrn/l0qXNRO+zaHr79dPU33mHTLU/el4M8saQSWj5fjkI8oxoaNDI/lto5oN4kbfrp99FGoAaRtDui3SXGcTnJ6VZ1D/MJ7JI890F0qqBPvxC4NRbxYAyL+hX2EFl3WUd6jJX70ZfEmcAWOVPQZuqAbCXBbmmOqK0zXr0I6xDP6OydGCf8NfUQKsThboCoMJ/n2pIvxvvgR1fVRvms/uun8/CevJB6NwK6fsbd/fHd1ss7yDdB4spSTEabgIG/Kfsl8mNvhGtpmlGx3vRgk0XEoVpLSokev28eTkNh1h7at9M+twwTiZl2DTtX3f9tPcC79vQbsj9kf5Bh26Zc+g2OD+CCGXqBOT/VPLHAt2VSHdPRjwwBVbVFncPRo8ORodKHQALfJxOaj4QsZ7t7JsPfi/ccikk3vvQZMwgx2TXDNemER+ndpNecGug7F+CvaT66ernJ5Jii5cu7YwWZAz+abCTK2HEyml/VQV9ejH40+CvECVYW+sNwo6Et4Y6IJF56MBx7zOVz/lJGVcYRJcZ5MvYm1nn+/ADQawr0nlBFIVPSotnz+4wYEtsOa1gJy9jNMAMvCt0XeZlaRpgYI3XDT0cfmdOkglpYUvCb8q/hFwXUsT6lcLnxqLItiBpKHkYWe7RtnahSy5Bl1lu3l+F26D8hWNue3cq9bpO+DdQWk63E/55Xee6KKhN2Qvw/5SWd4z6wsIm/HM0cyKaLvj/bfqfx3ancDyfKea1PMad5G7lHuDeiXtdE4ltY2vnSp140H9cu1glPdfrYs7SlpOHCapBnHZngH4uMP8xr2zPd9cNuv1BC59b7/e6mNDU9TBSQBms8Hniev3nnWa53DyM6xnvrgarUyBacqZi5g1d0nkzrytGzpZMPqfLkmoq8v+ApswdvLDkFgrus27BULGcA7GmPTir2v7rDjfLW1P+atfU4qJmEFUlZknneZdomqFpxNQKEqnwWlVQAJ0tXpVk4v0JTdkHT4Dlhu8/rZsfUI37Sb4s5ypTaiXSidEXpviZJIM9eU4Yv9QBdp9jZlxrjhrdcsvBJTzqJmv3bBrBhJF3s47z46ycDkuIvel3q+BepQkEGf3Ps2SCuq7uFAAyi4LHxddvVVqVMNirXCe7QDBACDAf4axLRjV+gXHa+TCJ4Y7lYLsO2XKs+HqQR2PF+pjrKsw8OugPulRQBBlI/XXZbnDSacd8gV6npdTQ5ye2eDBb+Rb1Aj7HOP4n2Mc/iuX6/Wjt4zWiUKffrZgG/Rbq+duOj3ebBXn9xOYmN7w2swK8fntsV3c8oCRuAyR9mYmVxQ5bcqYFA7zWYIsB+Zvp1LtPRO5MzXdw5qZoH6dyovRv7d+w/Wy9NnuBHzK2FXdo1nwvZxe72gUNq93mIl8E+spXqRcDQHWpTyAoJRC5ChV/IRkdiwz+T54RJfknZEk8I6g3vyT0vr7E7oQQdz5wRjKIKZ3h52IOZsu8BDCRInxYkf8yyM97WypDr7Jrhl6WaWmjHX17I8nO3/sHukkcUrHdatW1K3Bq6kYud0GDu9WSV616pSrc08xcLpbTF27wxfJ0JV+ZLlu8ZhStfKGUdS8a01Ge33t3y/S7e0bdbvxbulve/xY0+pF5gP8A+mMM9fIN0CMz1cvs3MCkVMhbRUPjLb93RV4zs+6l/E3LNI5/oozBu/cvyif8S2N3KR59+c7xOxLt0UO/2Y1+lY9Pc/+C41IZe3sL2fti99XDwYv47rir7tq3Iy/iD42Ny1uu9wWRP1G9ErorPz0uVV52PT+OjcMpzgWaYnQMlSitZgdDAWBeweVANgiHMs2HiVFRdBx23fpRQSSmUGI59J/3ZasfqMsELg4mqaBKfK1WXK7QkTXPvlETEjmM95iic8gU16UzSBjbF56Ewc5r/YEb1RTCRO64HuJ2BxudsAvYMZgKFVkJkrcnofuNQ1XXDca4XQINhYhCTS5YzRtuv6HZvGGhbIOBWJd3EiBPs3c8oppSICcqy0XPMXnpRk0utMv1jUZj44aNOgElUlds3x+OfXPi+h+FmUYoDNydCArBBCCO1l079vJajZfUQjxfO76rNeptycyKGe92ExvOM1q6nJVHEXmG7ukfgePRNEnAszmM4FwWIS4mgDyRhdpOBg2+Egc9tt+ixE2DVbKcXlcAADHZ9Ehe94f4F1WpL5qZXMRWHT5lufCEqHyWaUYq+wj9b1JMlmIO4j7uC4pD0YvWIVhAnj9VhOvWg4wzJku+ZBkLdHHCFPuS+iWE5ukEoP4HCj9k5faf0nWKv1VEeN61dljSNwSapD7jOU1L4TwWh68dbxXnmdhbo3UP9vvZzDckUyYk3pfK75B8+1ZGHtIAv0fHw22i5ZG4TEExEolbw7kYGN8tcbdkc90K6ay1/cw/AxkXytZBAvc7bRzJGOSGFyt89FCCGT/Ky5Ki5G07r6miIRBR4UuioPC3iAYvyUIRzokUPpLk0md5hRdKUyXR1AVZEorlYkE8FDuX2ddcIj9KE7j29vEwiwXa0a06iDoyyLg3EucflsplsB+LCuuLzZNTQ3dGU+J1miIX7YJKRNMAJAl2xS4M30rIhjpo1/1sKsWMFmXEeYIupzOiKp72I5RkMUmH/5UtQawCSuDfKgspidYYAryv0oo6Y2F+KAgkdCElrkZi/vldYIfDaKRjt6EzRwTsiSysRPG4fKIv4/RiJHSjm4/p3ThPHUWP2ijNZuJxl6nwfHai8ZehCeUEmRftqZIELKmIfNGhgzA6l9nXnOjHz7P596XcazAfnAMT7qDvpedb6CogcpCYngEDweBbzxiQ8XvrMi/Xy7JilxdwfoZJ2oIvBazpw5eCWkmAiWp3jAF6p6zZtqILRMY5Gybuern9Wp5IvOk5AQ5g7pbMX4LBacHg9BFR9sr5oTtcXBbhbkX0XafsEIxk6XUy5skwcD2whApfokM1U2dNzeepKbEUzOhRjHJiTrdj0PSoZ86P829H+z92ndOpY+OLlPULjPO/iKbb5kHN6Fyoj9I5nQzDRxIND0/qqTk9iwbJmTWJ9FSe8QS2/8fsOdSf08fBbVKbyMblvmb0uI5RAj3yTHbPXc+F5mUMnIeZzi8V4a3BbS9+VSf+c+0NmAaTCPoszyuCWALGJ4IhqhrKD0URJf5lwbkk8hKBZ4owYfMphn1WFAswhwswBnVThElc4EWQxv6JHH0Zm//CuX0cDI85t4/A/fYPYmZPygp/bs+iVrjAgs677PMUcb6z2+wojzW7J+WGP7ePg/kx5/YRmC8d9MzOJ/oxTg9GQLbLrB7xaBBrMayjNf0mxjDjVnRpXi7J85K+Yrm7W3PqqqIcVVxrK9Ogi/SzCrdOs1e+Iq7ZYNT0SrTjbxBnu/VJ7btVzZLm5yVLWwmD0FbDfqzuZe6pytGjCnzsUNzGOjam3VdNUjYJfjsDGBwwyWYSc0aV7nEajZC0OTj0/mGrMNlahh0W0Omm/dEow07cmyaZk8xuxBhhP2Ke9zt25fr9mpGJwbBPazKA/81jGpRigh63YhzSfigykX25N60mMDd3o+DEdmeVW+DWYtFjWdQd3/xM0HNMKzSA/tIIQzQp5zBH5j4pNpFdujfFxjNTdyPWOPYq9nk/vR23F2OAmfLZN7kVXAkeYdn6C6wnSJpZYnk9M23Zb+Lq5KMZByxyI2bYrmW6CUSVVtme3ZUgxaeUsFVvACv81ZNbq53xtrWMbazKu/RtS5TGtlN/e/TeFz7R74l7PHZXxoY15OM893UWT++H7AUR34K/DQV4+mnRVAERprimSJZ06GgRTrdksSid0r4mqqZ4VhLXpaIoH8oVRemsbInK3TqXrB1bT9eODQK2y/7Y2IivN98umeKpDra6jk2JsVVlS5TuPiSCIgJfSWfF5Hoqrh0v7V5X2lESrbab2eu5byLx9jUjuyT010gCllAvUri/4iyKUcxkFm1f/FsRdCjxXfDOmxFvx74FbxYvSeIt2NRLOC6pM89mrAynqydGy73zIiXRuixacueUmFjUBdgiIt09vEdndZw9OgnuIJnbHjZFQ4tBMWLjw9kEzwT7l/6K+18AlgTOsJ3nKcqidyYZLoy/+Ru6N2x+eC9AtzPwQs7ueEB9oMRf4w7Q9x+HuVs4Lah8r5jTP4CRk5cEdVDMgdWs/inWrvjAcQyqPC0I+D3+5JLwKviaBznG6NQiJZC4XZY/gBXn7tBK5cIJnqaEdhjPh0AFNSJWp49uVgRF5IVKr9u2pemlXu8wqmO11c3V2v+Omw8+gHslBNw6sVM7Op0Hm1/lc5Ld7vaO1vV8a22aBv6u1mqrP4ygvx8rbmLhBS6EzWKVQAdRiRo2S8Xo2vcDlDppCDexCPQOFe5+ED0AVzRecykBWq1oPGsU4ZsgUTU9GMW7LsVBinxKCtCpCJJgeFOvKCDyhVP4i+PvF9S/FhDbwmls6PgHeJ/OGBNZhF5hxFcsLpdt+h+EZUyDlyeUipvhjTffjGSlu3J4PnW96sfgwMHh+VtuQXpvCfBPfSF5+Y+ZdA/wPMV9C2Cqh7kLx20/1t5fCPhN2MBjTPPI6PNQC8NY2G+f3ykIt9yCWRHhKfjy7uTlYqLP3LcoTHW/7ogf5I0R3v31TpDVGqXGUMeoDvXXo6EYej9yox+Ezfo4iKdvvmuf738BZE0R5F4GF3UCRQhHipNGoCOK/0YQRfH3RDHV9o/BXQX+Ql4vcl+i8owJakoyzAcwwyviQw9JmnRBFC8Iwq8KAt/vC7IhbPL8Jq+EY4X7ErwBfm+zXJgUwbh9Mf0DUki+MPz97/u/7+N+ReSXNgbg9x8Bww1/KRiy0O/zAvxeEPCn8IaHHhKVGPy/j1G7A7p/UMYYfmC3nw4ehMNXw7cgNFy0N1Ch/DrWCN2LQQ8l2fA/JC/D+dLirvltDo+QoTsNQREefBCD489DG+cFIXX964Lw9rcjYeEruHNn8jLWT4u1aQ+NAW/ozi/w/IMP8uFL7kpektweIIX9DNukewNpl/zsqIOhOzcLwfslbO3O5CW06b9cZm0Jqes4bqku4rfA9nOsEOxWdI1+6k9GP8ftDYm3ycL3WNuATJxUF8IrRG3Acxb3Tbr7cU+afV3AS5iKgOMv8Oow740hKffivQ8lxf5y8jIcZ9+kNMngghSMQ0RO/X6Ifq8Rgp/K+LshgsVwZqWok6IGtvn16E0AUui/Q92c68UjLSPtNqZ1hzbvMqdw5TCuqFWMa9pMk44p0Uxpvvbt6JUJm+AIRvwHP0YtKZHerp1MgebWN27cqNPD/1Gn+xVESdcs8zLGyjaFZ+v+l/WNNfqdJNaJ0MQv4QktplejjbCLhZBtDmSr/1y0d2qZ6tHHkp56pjk7Ua86vROkqwxVDwnSqHrpeuwXEf5NGpoNmtgmlpeXxFVM61d4Fg/2dHmzPP2hVHX2Jcu08TdwsKNSIJprfRUVcDjYdq1mv3eoVnvUF8vP1JhRrX0Y+KGkhINUh3sphKTLuP/jWIdohqdnMc7ePhfrc4iHVGX3c7FOGSqmHsJDLeq1HeEi3FcT0OpW7lXc/ddFr0B/xp7TfSaek2dZWGNKynhEvMB2c50PMphtBYlRxyLmOZZCC6t0brFEWZjXHvPlwucxxYj13eAqYCfdxr2WexvdN4G7ShjQQ71hF72DoPlW0C+/n/5y9eYEpMecZTpLAbYdHeiSEa7NqM9NwgtCihewsk8iqngo1Wg3FEepzj+LoFJ45W0fVDi0GVnD/rEcKwwUHwg4UOLZDPDCc5Y7JE/OXBd/JhYmxuPDrdTqyVjsd1YrzhQd23bgIy0TX0orPaRjtNPY7jrDNZVSeE72Jobq7YgAj9qU859leeKCrj2c7JMV4T+iSYxlYvQ4hx0rw3/YsTRtbrku2sSWkMejTDuqKj4eVS76XvoIbjNVw8yH9ADGd6ysUm2CMe1XI//MJEN3iA73Xhcd0tvUw6LO6+54dLkno9r0eATaHqruLCfn4ZpfMWOP6tMHQL+MstRnJqBjVqXqiebmtMx4x1gSeW+ZsRKsyhSCCkVoBmB1qN7Ao4lnqKk/SoZnSZOfxnVOUi7xptDK0YzOkjDtEkmRnCKRBIo9Z4S4zxQytwmCKLzxuMxLG7heIB7aEkRJuP+4ILB8GWl+v/u6+H1UmWJvzPkhu2ixOCbLP5JdwlhM8v00d5J7Oepmu9YDOQC2H1kSZGEinXRExeOHJxJrMZ2EVSPn7INQvCboCLEmApjBq9A62QOqqbARC3RKwACQMX5k463Tw9wI8W54qTRDdDRK6AMV/ZyL7zTC/ZikaBo8aIOm9aGEFcHKT6qyJGrYNw1eIOqWeQXBhQOwolksmpr0/pj5IFO7J+jHEufRGvCYc73sJhENYiJIbtsP5FK8O2wxtR/TcFLrEM+IshR2CIA8TUEEYOMdY3f81ep/wkpF4+jwS0UnOqdKq/SVURdx7VEWr+A7PoCm/joOTGGGR9tXStDqZphVzl4HvVKWQmRCxO2eMak4yvAZj5oPRZbAVmQfbPkmwWYsx3VA31dwb+DefkA0HomHuBN8cso/OsoWnIADntgbMXwML71dMNKNc0eHSiA3FDjp3m36ZOUN0yK4j9oixBqG3A4pKEbgc0H+fg34tML1aaWOUTw6PMUlWLRf531bgf/vKSOinimepYz4Lh2bfhpbNfmicda0bvcthHo+Ryus0qCPGMByBuu9RSfFWgmNg1KtSEI5wmC/hcqRkbCnQWdlBdOynel7u3blfWFoi89TFmWpgKHu3qNfFZ9brgwz0j3p7qXk/UuvQ37EbJ8xpUTM+BlPMDwS7ZVJyveXH9DYj4XPTD7Cj9HQEr8+7viD+mLYqSQtduO1vWgxlKYrsn/GpE2WATQekd4SZcCK2T9Jet1/ULI6mdMrXqZ0cvqdyyxdOj4hd5Lpv7Joev/+adoIqpZi+hwlzz7kQMoMcEVwcIKMTd/zUwJCqQsSKTpEVCTilHiZFo8Rq0KOh5toEY1H8jtfgzaOIBy/X5BE4UwLf9OViHz8jWAEpWn/jgOi/ZhW4OR8cCmwBXP8lEiRJPMlJ7QFKY4mG+Jf8I1BInVp8FjrTMIYTPLIK69j3I+0A8fkipGG4Hh88GiGxeQbgkke2D4gHuiMSuimTE727SyTEc4novR7Mm1GWQj1smVuibt1yNaPKwuRGhYoC4OR7HB6SFMI1TO/cxeHCA/oGqkfzAyRmeOSMX+1dMyfX/Ic7CGa7Tce8YflqqTTNCLqxti64yK+/JwkLPC8ovAtjjNe+LsXvk/fL3I6VwQOqXPz3CK3BtriHdSmabZ6Xa/dGYCQw6OneOzDv9iAD0fp9zxZ6Sj9AWYggKPSaWLUFpzlyYpwgu8qiF4QDXkChiky3FOSZMxrmmjotihqumpMSUoeYOL5oiQUZd7mHWITwS5IYlGUm4JQUB+c6S0U9LnuS/pOrnLi9EvaZmnxeBNQdaPAi4pwWpJJ1a6JfIkXGwJflJXCtKKaqjYviapmyG0dWjPqksQbhtRSNVXXcqJgqv+5srx57OiMZMNbXanZP3WqW9uUxTe1EEX8goD16hPxfTWsrzlIId8ZmWcsToqIEl+IVkC/kyTKx2JUjBZPuXiOpCrmEbHzOBcpeZpQ8zguOPc22p0VXokve/qFzqgbYMdu5o0CX2nYc/bni7Viw+WnF6tLC4IqLNDVTmBJTHIIQyVnap4pL1Tthm3Vit6cWOl45INtnm9TR9MZ5OEzjr/OGeAGc2cdxZxJgyAWFDccUzTRODivcwI0hDqyAcbxLfq1EAa0jswMiQVNL8J9zLL0yTRogpdv2tXFad5tQAc+Dx1pVPiCp5tqearufr5UrZY0d95pvHEYUuGcmXMPeeKcV6xZ0K/qgmx6klbWNMLPdOrVZlUrtxxuEjwzWe8rer7I7697I/Cc6AcifRSe35iGvE1dDhl4jmIU4kAMfnB4/sMMPJ/ZD56PjMnPuzHyJq0jgnJ/fRcufj1dp8c5IumvWqKxLkcwu+VgKJ5yYoz+niAkwHloPHz+tkBjTgP41sZCJU9t/CVa43CDzm9xPIalDgN8CrHR2XLYyIxj9FbggZcHWJ2lAMkqf7h0GCdTspQzdc+U2hV7ltYAE89ZNctrCoDaa9+gnZaEQydOHGJhSDHYbsD4BzuNx3akcjDEKTGE+kp3gGt7hFi5O47bdRCmQjdEaMUwKIpx24l42Mf7mbBT0FXWLdvMeZ2K0PSgNyCvK4Bap1Uua46mAq4PzaDuWJq1K23J9K59L+jnZxEBnw36Kr3wwgvXyAqp0ZiYNreO/pYBaoUwCRIMNvTiF0rGNzQkcbDCy0ob5k8/j/9doPJqMDXAkSg/Ioo8fCgi0YlyAr6Bj+AbfMxQeHi2KC/f2DdLcw5fbNjPuLNCbYtX0LcLxxlBJPGLOsEPgd4SebyQeLTGxF+sH5EbNb7QmJ+160stTs7o3/aB9LCDKaeofkkLQq2QE7znIskPpOvvnlkUgMTosn8m75licSonykTtXD9KbuhglmhMO5mvTjsg0UXBq4X7/TE3K8arZkuOu7Mkwn/OGPB+PccVolO8L6ZWmxP7ddKI3czatvVvhjC0ysKRmyxQ+st+J+sL0Mnlpp8PI2r/lkkgCEgbJskPSDsmaKOItyvIN7RnBMltuBFVZpAkrB/cVeBdXAGm6uiiL33aHd950R74J8CyJ8iTzQ3ZrQmzLnUsfFWTvoCQ/ibPP47XH9UWHGP16uKc0FxqAByqAbJD09Af6whTjXBuWeH+TxpxfiPNyw/SrT3Awik+AHEhCJYVzbo7YgvWk5WOSgyV13s3HWVw/Q3C8TeIHgJ4Wnw2vuHqMsJ6WZSu1DwZ+LfREo7M+pACciRhpn2PmChfxXGKT+s2p3JlboZWzT6RqLc6iI1jb+ybaba4FRRz/BcOXKKcGevW9BCH5GX6zE1EEWuSoMEwFc6MdevDKT5Xw74X6c53zBKN+esfhN6Py9XC9aHp/x2b/0/tF4HfGD1UNJEOlWvX9otRLpQVq/4csZmSFQnW9kYJDjSptiL+3fQjUOGwsJusuIcJg7mEaPizxmGlMQP9nZ8rkQZMY/6eyTiMr9o3lCMZYR/gjyL1WN063gYJBXQsVICOAhFEmIgi+UN17AXcXWvHxA6KPNxfCzCfiCuxyd3DoQh8progvJWWNXwr78wWjdV7/F5J4jej3oLefQTk4XJ9tgJwFqfz/FRjx9+uejrY9uLHJqwQzZeLt08kGdl33kiSDYtJWhDiqbiY3KY92ab12APytKNuXJ3xcM6vz4tHGtgbgN6XmffGyCHLZ8Iu4Z5U0HWRr1yauZoCVAiSr6MW1MJNIykOelSQS5LMSwVZEhd4RRKIbMH1x4fY43XQTsGQVgTCy+KUKv1qmrHlsH0Wk7oGNuJ9oX7WHqWeDX/RGQ/ydaqCMany5bii9rGYOvZbcaXtw+P29SwVKlTnEgieC6JA9bOZmLQJvpBFuPD2wg6d20L8eMB3q9wp7vXcuzMx1B6BIHreGVcIKJmIHAwjjp0P4Y3XgYeJYowtKoRsBA+h0z8fwqZ//ot7C5ffSeGbo3XHffzi/Hk6OWvuB0/jz4Yj+v2X++pH3C+xMNovUSCxZddsl8RCtMo6whtxju3nj/kgKiAPb9jFbhjlcYjnH8i0LYa9DXK4appldww5Gu71YWVybplMcRbdq4tUzpNg2afV6QM8cMNzvXZ/INd5T+5gIuEBvS+v8N8Qjhxf17w6P+c+hTFsIorkelPUddEsSGqlWbZB9jrzBi9KgnNoimzPHFFma/zcSmO6U/tVXpZ4ovcaRLAXTLvTKJEc0TSnSO/LueYiF/LiMq1Bs0jrYa3Xeafs4s5BxntYoXydInRS+C/lqiVdkXJu0XhKL+pGSRdgKpl/cNJu7eh2JQ/sC1xs6aVySRMFp7Y5eV/j/NrbzY+2y9J0Nv9qGSvRIxj59sRT+LsYT9cArjuzo25DGCZ2sWWE2J4cj++fS/UJXnNoTKdl5OOJ5pCR88eo82wHD5sDboBzG+eGEq8cj80BNwgisfEZmyhqtncHbTzfk3EMBfwx36uRcf/DKdcO7dcLMZ24S638kZ6d0RdpmY99q1HFAI43CPiBC3v0QuRrqBngEbs9Q905taz+4QS2hQ4ZOKJDZpyLD2XpR9di8/9RmKPeMBH1srs4clpjfQeahV0PzqHPcC7s3fFREx5FiMRrUtDrUeejsDHCXpjYx5d1cR0+Psb+eBHwf6A77j4AxvbxHaNuvWMph98uYyPbxxfItjynAy9hthc5lLiDTn8QSDJZ6Qy8l/CECtaPnv7iVIPJp8LMldyVP5RkJkb1LxaJR8WPNb0IX3Cx99vcCtptsfd3qNA8KSSboWKeycamF2+09B63PlVWyWwubDyX13NUFi59KA6GXe/M8CR3JB9Bo+alslmk0u/rCJgS2s4dboNGfv4U9wvcr/uyHWMgZBYEEVuS8uPL+3Q1MslJL/qP6Db94SG7TASdwADhNU2QeF0QsIi94F/Mizxq4ArMvERdOsgnDRlEuVod9r8KvC4R4CwiS0TmiaTzAr3Fg2IhB3dgChdtgRfo8cX9iaRJ8IMPD9tQakh/1PFfzb2Ze4L7NPdV7o8m0fbjBGQhASEFV0j/JAYWYex6iobeD/Rn49se90V0hwPIKqR88kac+ksv6uNjWDzfibMB2n0hHxBMgIWV2EiaE1Z/QL/B+Yfy1yJ3hLuX+yD3K9zXuW+npAsSsdUJiNhMEXECenfHf7QzPgBDb40eZQIqemlqilzjBY2PSMtrMIcDfnhCdJ0QONH5Pp++I6Z/83Z8S+wReAs+QghYDnDAR9azGkowFQ9vGeY7Ks+Cy2H3K88bPnEpwWWDh/8MObpDJAMjasbki3GfWxiv3ZFPSXzsqcfSmnG0JrLoy7wPcV/gvkH4CVYFhiTeP0z2TT86vox89d93zk7e+PNhFVBMLif+7j9QXk88FfpEl6gvpwY6Her7d2LF4iGvjh/v5q73ex5NY0iTvgYJzk6Qjkej3WTFhRMMEFbWPdej6WHkARZw9F+U9v7YLAXqrRi8mcNIio9g/FFONHixLNpuSRMUScypuZnWjKxvFw1RyElmizrv6S66hHPomXCXaAmDX3P4qikMbMrh69d1wyy7qqqZzTnbKd4l52HezIvSyWhvgxriA/1GA7AQ7+Tu597G/chEHqSDwtWYnqbrReHejqjrxmuUL2YpK0YpDJ4L49li8Uq9LhVAiRilw0EyPxbHE8YrNUt0u3gsSOkth/xEfixk5y1RuNJ/PY3rUXHYrj9GyRsRkveDjlFazA5RCvvK/MyTe5nH9CyP5U/218wAnlWi+TmxopGESXW9FVxrUeiKIM5ICdkxPd1W3Jwyvz5lHF5pycVptXCpDtpvjW8uz5LpznTetISptiU5jlz3SHmuzvzC1Feqgc2+wmrW4FYwHIWgnfWw+abfnttBzFB3pYL+CooWQAIC2GrTOF867QOA8EuyVDAlxTDksiGqvDM7a5gmhas8c9lZqPAEB+pT7hxf97TFs3Nrh8HgEvSSAcP6KTUPurulSMqTOU9WFcFxTYGXxGJV10yeQV+btlsO9InMLjf5auMewGitAtJcL5ZLhlawchLPy1IU4/J/0bxfKf1keL5+OhYM0FhqBvRY4f6M6jrjazjjqwKP7xl/EK1bt0AOG9wM5lO1QY5idTtMON4ZzhA3lNfwq7yoKGSLHuuCcPw4jqXTNAPm+5KXJCcqoGtcpcfneBW/hJFziqbPFFLXHMcl6ng0uDXcubdnttcxIM7MAPsRnl9f50MBtpy8HJEQFjOdra9HElJIXXNRLrpvwbw/F2Z5ZblK6U4OFvoaJVB7J+7HAHycwt0Zxz+RuPrjCD9SEl146dfmRnzNgYaxwh3nbgPb7i3UqxirwI2DDcY7LcFddhvEgQu/BjcKWaWn7JKGOP6Ne4KnSWP57jniloyyW7Q0TSdl4pSMomMVFM0gTlFTc7pu6lJmfrLDNBHsJh5qjW6dNLonug1S7zYu5m2Sy/H2jCXy80STcyV6OW0JfJtoyiHRVDQy4LW8Tubfl5nkbNV/Lxy08L1wjHx+rWCPQS+xS0V2BvFcmomLoCqzabUl8Xlc13helBaiWDCafvZRPGwmohdCXm5Rn3jHz28bxFK0OrFzJQWN1/f5oz3obWA4Hmv4chh+9s0IqvdI0pYobkk6+Q5LfN9mqsE3Q7gMQVgVdPiT5G0pyoPfon7oBa5H1yNG9t9rBzXNNjpKtN2X5uLtJctHd7MxtCHpOsL4a2HBaFEK85zGUfaQIEvbskShfasPPBxseAuuRsGr4jIiwOtgArym4N8DtbUQzlGofSIGWlBjeBm4zaaQLcJ4PEl38TqtG0lKbnkZ9zoZ9wYZ9y6w3fIg1NTLZ/GUHp7OvEuqm5t2tJf+SuJq89IluLqEV3A4n7jC7gS8MgXjxqbe+Aat8JAsFw+CRoG/TsvpKt1eK14l/smLFy8+fhH/ixcL3tm5vLl5+djTO3RdhLaBuYN1sJH6gLHb6G5BWue46buc2/5mWLonku6HpftiWSIdt8+sAkBpb9Bj5dFaCqoXedLuMRsbYD5tFGu4o2+11pmeLtdq5WlQv7emYxdk62zRgydq+JxXPE8vsH58Dc7IJnvodhL/yRZhbyttbZXCX+F+tRrWqfeKLE7/+zDfLnNljFpeKOf5Ff4ETAOUD5U63ymQAfT0+JlTSzmv2+QNra0ZfH11+uazvbOPz994SK4Nzrx0TdMKBU09tHmkd7bnz+NgT3Xoe+cwmgL0epDOHban0EMpndgspQwKZKd1wyGtsj7ntzG3XtEO3fALc5unN+fo4SegxdnBLTet0sa01ZtuGcw+Pud/ObdpYtNMlhZhzsH6xhjv68nNzgBThROqSLjrHlLAzyIMiD+JWUW8r5QqJyqlUrsk5XnL4vOF5psFUWSJXuFz2Zg6PWX88W2yfJvA28c0WdaO8U9JikQWCPyDE/OILB8J86+SKq3jeoLAfBaLFjlOHsW3Dw7hsLyCQ7tDNE1RtD9llhznz5ltIgP8rJLuUe7t3OOxOFwlKLXUHb7V6TpdpwWM1up1O+0+iEWwLtc95FJAsQsKtOeCFttpd2DihUNTQURgfTS4GJzgB7hxT/SwuDH+eIApeEHYg426PuiviM1vMklT82t5+EUpakxO/qgN/5VK00QU50WFlA7birgAuBMFwzYxyqigFvKippqGdcQyTFUT83AHniSmbQjSQsUqoaNR0jRR0fL58kY5n9cUUdMkXEkpWUdPfIXF3M0yQacxuTzLULdZwuZvBFVTBwB4XsTFQ1UUBGNxw52yVJWAvmeAxq1pcl7VpRwhqmpNuRuLhggatHVoecmUiCaquoVSADQHUSOSubR8yNJje4Uwd9TPcp+nUYtJ6chGOcjxYGv8iE8gnBOXEsOf6/1eN5Ae2Z9Y9cvfh5/+9FKZjS766bhkmIVV2Z6eoanFho/TNkavwyMl/xPsFrqnPuOYeNQOsnxZseRf5zIevP7mj0UpxZL6+GPcP+We5v6lL5e7wdan1Oe6GwbCjPgEbTOITxnxCTNKELoy4hNECrSnpA2BdOLG1Pfb4r6QvxdO5VAZuBjhrhayBFkatw1Sm4hwm5GCdDpMi3U64o+wXpjCaaDntTCDsY+guSEbymG1dm4k1Mi59iffxJcs4OH71Fq6QusdbkXZtc7blkscK16fUKE222FWYyKV/y5oD5ugus+cDwyY/0DyOSD9836DcHg6tNHsa98zlG8pRgn0BiIbz4W+sntda4dCAMf2Nio+v4mJ71BrCWwiBs8izf/ycu71sf6PYJBRZYa6Y5z7davATKQ6pd8TKagzEcK9kD6D59o0Mx8eKJp3LMexLkWo3mSyeMEP9M78oP7VBB2CikVv4c6DzjHKhvbpkR46owsVDca7yDS4/3IXvNB+Jk/hSTz1UQOHq4aKpRXxYMfIfzqB0tiWG3HEJ8clxoadHBsRYpSUnPfHBu3NVTvIXUxpZi9sU3C224Zaot8oRlx+Ik2qNFdeNhfOYZVJb84ZkT8y4q42HQdKCcYFeia+6yfLAkAi3rnMRsIWNQfaaA5QkHwf5Qv/kbwMbKc56ivOjBqMhw567RAS/4se4JvaRGgMfVWUGUnlLmH1V1T5cUBzSxa/CzzbZs+Jz8HtBT+VEC3SAnaT7w87yl3lXMy/EMT047pYR2HeYdCgWKUaXhCv4uqK62ltVxCmrIeLVbFB/rZQUaz8fxUVqSR3lqqigd3/hPTDfHGmSlHP9qMcBZ3C4Wa4m7kHuZ+EljC7BlsIOMnCKQb9Nti2rQFtu1WgqQc81ykXeBoZw2+AOreG/tuTPDowle5agbgZz/SiZ7y17NfEHtEAUQ2xWnzYmhIEt61XXFxC0gTByhdE59eJKGAsqogxrYpCQMkDlUtQg8tjoH6R8HsZMCQQQUBPm8SDXOjTBS/6LV7yyW+fBV3xE4gsQ6wudeQSqIgXXyZ6tdKfyYrAa7KIRXoVXJBTcSmCl0TJUBN3Mp4RyKQP+TEJAX063F3cj3Cf2YtCSqfr88fg7wmt/mjmz2u8pT2sFxr/v1Ct+sEP6qZ57QdMOyrbMPfLLLfMneBOwTz7MrjjygUeUUlrQqMVtIH1K7vrHjV4XKXdApsILCUs8YmFpFcxHByLXPYGitw5utZdU4DW3T6RAHtHFEPRS0TzTldUUtIV05stF8FqWBGVO6xi3ZFlSXHqVl6zy7OeWiDE7tsETJELj2I9aYCuDUgqzgMOtS8YimUpxhfA4AFr54jI20S4m5cJEEgiRUHmdwSSyxFhh+eneIGofLimEcio9u5SapV4Ac/uKq/+0wxf0B/WLL42QnLVkZr6B4N5isP6LXdy92LOmEGU2j2W5L2Py3m9MEzRd8i1orNQ0wnrP1J/HZaxcMqRcn4OLG+MFYCjQGZaXqlQrFcJvWkIfBHXyAWBx12hch7PbprN5VuVplW0nelND+947Firlis8LzhFpxq/Td+kSW+DgcOXeOGpnFmdKkzng35+m0zBHHmExmQG/uvekAPbSXqwHT9Ks7fFz8+UZxemZ3JWWZjm52vl6eZUBRArLNRLhSlQWO03V+oIytyUN62IZ3jLdOvAqsKcV56RhS2+mLtN8XI2f6opWaZl82f8uiffgvkbK7V064DrQQ+Ln3e66ADotXCRz+thNVqlhY6BrbLUXbQKuVJ9Xtq6447b5flaKVewDndlx7Z/7NCyUBFmZ0peaXpGqIiL7ZLHhXUmV7gl7hjoqW/Cage9suthbcUObaXXpe04tB10P8Afrm8PVvg8LyWcPJP5/RfniJYr8Br8J045qqIquaIwv7AwL1iFtRmpvrjacclSbXXz6PT00c3V2k8Ru6gXy4W8quikRMoF3Srlc4oKFwVVNTRN156f21CckmjnVEMtlmGYmAaeydUGX5kvSVOHH2ELAPjGnmkRwyC4fsXjko1ZIKbJW16B5+eIKs0LhqTya7xiamTWp8UVoAXWzuu6SHQHkYNMgvRod7BrlBxt2Sl7ra0FoWx/6pyhCydeCoJ0+ohtu61Dyuwn8rlyDcYmr1RtI1/KK4ZecrSqSpr1wnSsHdRKYGR4gG8c6Y7X7aDbZkDbgsNWt+QJ998vuKWNuw/dYzVsS5iq8rlDO98tWrZVrLzxflIsVG3HLFNR6Y9lzDHDDXo+Aw1aSqvT8ihJ4e+XV1ZWOicbG3x39mQHzttrpYr9ww888MN2pbQW+L5yRMV6V6xW1ipPV70AXcKDgsl3XifLf4uSU/5bWX5dhzfhbjC+vgZy5DRIaZqrFCQy5l+hI59K5NBSp6KZ3sVsa1QX7GIN4tAMB0TDqadsS2LZVtWSgypdIS+JNIkcHGBOhBOnlPVdzhKlkzCJC7IhSQbMETA3vgLU8lcIggpXqZsizHvur/lraqzfdqrnCjrQBsn+/4eXiaTx2iQW3jNLxJc9x3FVPw5lCWYwkytxFZqX6wh3lOuDzXSauw2sxXvpODzHPcz9MPc+7hHuI9wnaDQ25uzy+h5MVIoHYh7mKdcb0GMH77D7gy7eaZCh+xK9I5WdQXsgbfQUV/Ek+nupP4Dn2LmH56CyxM7jd+L317sdeZXErNYdmHM0jXR0DUT07ZouqOphVVNV5ROaqivqYUXJy/K/VRRTluclyZLE70pSUZTmqDTG8molgb/2n2xCSBUO9rVv0DukQL+/9v3YT/6CvuT36Qsd+vInaENV2ugZCsC8rgM0x8KVFbKELxXoO3OsSfquKfpeib4x9sJq7IU5+kKLvlBjnbTpLZd+XYn9YIq+YirWSSXWSY+27gAgj/tb7hJ54CqpPHBxl0A8B1xUZDiWAW42eGO6zmt7typOnbitnV3SqRmtpWVXd9oJdkoHtSufwlpZiX33saW58GkO16c5Vh9a5nQuD6PB5aboWvIy2Ie4evVS7gy3BSPibu41MCbu594CNtQF7r3cB7hHYUx8kvsZ7me5n+Oe5H4Fx4bigXToghwbDP8dJ4O2RwfAAhsMGx0FjM8F0ES6YGuDJJdgnpLinyAepaH7ZW9wI4HTGeL1Y6MHxge0vUi89UEHZFgLfuul/joxYq5KoiCrrWKxWSy2SqUmPZkCvUYQm5Kqi+ILnCoVQFnPkZJ97evEtm0YE9e+HRxlO3aBR5gNq3aJXPtz+mvCfv1tUYJX/glt6wu0iWapxBr9x7FhQahjPfivRBz6Y4++qUJ/XKQvmi3G/iuV6Kuia5U+qdI+xN/gAvDxFgLGj9fvnc6o3xtbVIlK9z4TpkCJF+19IuD8ZK3epTGiN4Yrpqe8Rl+JmH9ETEaMn319LYP/t6LXxJ6P6pGb3CHuIeBqrpuIftglFW8HdM+y0vd6fbrMg1FdMrNqsExNZwW9qR78CqzU8ApsoIEcXa7D4McVIKqMyViQ9zuleqlUbzWKxcY0yz0uidTli8tZdlFT80WwVa3Z+2YtGz+XC3lNzh+u5UxVm10mPE+C84JqFkv+xX2fMHO1V8G5/+G30KqXtoMGmJMNmnxIlCu6RuRX5Bw1n1ed3OWcoxR4Rc9JObkqiwVdy8k5Cc7yhJiaABdyRZLym/CZg38m/BFTziVwOwOz6bvTuGVhR0HoZn/wYiN0jSaBdHXMAFeQcmL+wLF5j4ipKBcMDCPKSzy6wg4elxXuDaCXJHEZF20vNhoNZJljyI/zB47ALebrflF4cB7sqvfRWGMSTvFeIp1nnfjpPJUXG4cVQeVrGMJlQodNDPk9ckC4vETxSJt5J8/PYGSauUHjkTdMDMz7yEGh1o8NQdy+lLsHxvc7QSvgBi8G4rxEat544Q4vWJb/jweEvqsRL55ma+4i+/gXB4S3T0dMUJZEtk9elLb84AQ5MR8d4+4EnevBSeakJl24QncaugA6baXHfGsDx1XastKSEZ2A63bHqRNKCP+q7FNp9wloexmwa1MklwHHv2BY82+etwyiTq3nC/jde6S1ecsk8MgyERR6wWhR3G3OeR4QOsXwih/nC7pqWapeMDXZdklBcW7EqzwgvNy2FMOiqM+HsUPBHLMC1tsrMBv9HvPMQSIpPam8/iAwlJ5H/stB4KfCHeZuBF3+vt3mjoNETTRRXDgIpPhzw4HwyjzX414GFs1bx50PDhIvw8L/vfvHz17y/tv7RVe4jo77l+a5de4UdxdIoweonXedyBjsLdB39o+Sj4+S4aS6L2Ss7yqyka9oXocITx8Dq/ggsERj2+pYvpzunqYXMu7WBzFGs73TizZG2cHXtM45vejjLmu/ShnIO5w+WRDbdSD1RqLrPCGGJEg6XdOSeVmkB54XRB1uG4TwdPegzp5B75sAqJcEmV7Q2/xhjKn0imSftHjH0AvJvgDrY00BgMSIx58WYM7t02rSD9Mq516dp2tYGMSoULKgqoI7kTyYctnyVscLaXYc0+9TxSYkaXqtH/UhxuonYqvqG+2XhWoLftpIo+WCltccI5dTTUol80JADWBkOaKTbahbaDZvqcYmTZJKnFkXuN0gRj6O4i3EJegmYPUohAia6SP8pwPkavrhYjHAOVrZCzScmOgqY3ncbsLOVN2XDy98H9hsCjRBIz67LLTzvDfAvQKdE6TOY7hr//oFKBHzcxVBu+umXNMT7zdbzaqmV5tzU6pa3T9Xv10TKnP57k266DWbOU2rNuG1cJz78v7E5og5JqmPsO0guDvFV978Eh9/b+eYSJ6+00+gDlOMhDMMKih/sM8ZRs6YXx48CLnppbAd2w4UL6ZSINchDm+LUC3ROZdOtnAMzgVznxLOirD9+qF3mrStwG+lUJnVBD67LVte1bF4UiSpnACtsVty/BZgu5MhihA/vhAiqUv/ufA6U+ZAV/N+5zdpf+M3aLfhRs4ylCKxwrgpf05F2/Lnuc+9WJblgU+xB2WIfv6A59uDsl/feOATsBjOv6e4V3Jv4i7SjExyfEjTUR/OshgDHn5Z9nz6BqT1nLbS73WSMqTpjTsTX0VazGoqkOFwqWiqIAfYBSHBmSRFcsMmVjH/z0Kq4ccNoybk3wXc5oEMiFGYf0nBP1dUEU6rgP2cruFIuBzQ6BUy0fRXUuSbJqPB1/acmaXUvEy9hVlz8osyokZP0xsHNDJGztn3HJhrK8tvON4c/g/Wb7j7HP9DB4faGG6Z3/ADL5ZsH1cNOCiR/czeOsFBSeE/G0NJkGI6whzoCGdo7pG0XIxLWryL1SfjNKD3OkNPOUN3XpkQgh+NxCjesmPIRXXBTn6dvPpeQuDdGpOaiI7NBOpQXL4S8FaInpAa7JoKVMRrGBuPdfpynMu1uVVuE2ab22mOSpomJI/hFX1X6QQbvjpRmT62ZaEso1qF8XLBljD2UZYHwVcezUeBYVsnaIBgS/5s2ZNmj8zKbnlBkHjFoMWSt4PIddey2W4vdnyGeSn8G325aMp8rlourw/mlMMzpXfLrSO16cPzcoWXxAVWZ/nHolXQmh/d/n+zIPgce8v3/bv/XjaLCq/ler2p3MqxNiak1EKc4D4+jLxb4k7DDPxmmrc76KUztAMu/MqL7mBflVjvMfOFAoPPR2sBM3unywanl4KvhIiA4xMMF3l2Y5P19u5ys1wSGV48xzw8VW6V7ZnFlsrQa5S8p3287tBIeX+/wPcZRv5ntuybY2vV32A338FIYsObAIEUR+bq+ixcOnPi1JE2RXZJalzw4+/dwrdK0SJ0jK9wz2+NW+BWaH35N9EILyfNRErIKcEJxSqOSR+rddJJ7Tpgu81aPbrnMPa30d8+fynipB2Gt8sBK9HefZld/dxFjNjEg3FeNey8nS/Bn23sbG3tDDNQsE3iy/72ErYJkEgfU+V78T1wuAwqSPgf7rkxQzwUYni4jXsj9wDMng/hHpShlX/ET8hKCS5DfHSDkyG+8XqxHefhbor1vgJo6fp/GHPyuqDT8nvOn2eIuJRgrscYkn4t4pmv+RxjqIAn1Xgsv5pfgb/8FVU+jS+Cw9bm5jn2O5F9/LPkZpzLEaNcueKHM1B1bcEwAowF8XhXiUL3r5+hsQpeF+QPDLeW041tuHACz+hx0pPbPYU9x7Ah07ruUe1QuL5gmSVaC3SV9nGbArpqWseKho0bxGyjeIEe6fV3WMHQkgmCiG2z0TR/s40N9x8Nv04dme0eg/813Dm6+jdmL7xU3oChXsV5ZYW0vFQvB6lxNarXK+HOqnuj/tf8jVdEEk9HqKhFOZv2wIoe7Ui6GEdQLbqvx3AVux3fK7dKMwPcvzfOMjggVS2aXuPvA45I4DLEzdvolmLAjbSNrmvxnGkhK1Cs0FP2GEB9Pro9ChcpPvG7a6V4JYad+P60oO/v4h7hPsk9OTkOMvgnXfE8mWshjaPh70fzX5y/MnAY8dgTEdpq4Z600zG81sJHT2c9OhauE9wXon1v3tNHsGqQ14jFbKEXKUhNgwthgw+rFfWiCv/oB5kPT/Ejyo+/RPe3cXaU6Yal3gle1vrn/q80Dz9+QhQu8vxFQYy/EL56F9xT4St/b1gQR5aG6iRJttNJQvkp+g7/VXwK5ofDL/ADwY/iPwsY/zkUBxeoeZve3Jz3LB62AeUVyyJL/jUcnsEbFSse+7kMHF+h1WpYpoqmPEgFw/VSTV1kL7mI9vyzeAhb3GEtvte/Dwc7aptLxt1VMKpzaJch09TWowW26Pfn/GZZG1fDRi+zG5/zuybG8NSAfq35+wd36ZAyNL9fHe7bE+z9O+yDVDP7uMVg+e/YRwIW7O+RDLoNtd0ZpmSy7XPDdE222wqoLA3h4iX7wUZnbLRsTYCdkz6SuCScDE/dXTi8G5x4QzbOZporPs4+LAbXM8OY87kqwVuHAvzJGfh76X4wGJknY6NyAnYzE3g1I7zKGXi9YRweDBEakn6wF1fWWLM/zq5WR/KoD96/Tvwq5NhoPT+J8zsOBuuD/aF/LLbOpELE5EomLW6ZiM9D0aDsIiwyOT9Jndp446CVoGWMRuoIGt17XVTqDZGrNyG5Mm5NQjOfWK8Zkk+RHDc5B2yJY+n9FzhX1aGLHZYRFvrZzDOXK53RMLUmDYRD72x8g8Z5rCrhzLoXwJJH3aq6VPWt4+hGbOvGYTDYZh3Hgi/BdoDv8BH8C27EZCnb09HkNqjdNjpxXmDidyjEgO8e7QOyHdImT/ydVbh9rZ+98ePlCNSs246D9QoxgA/vjtgPYtHOu8cTvT8dnNC7nPDC96E/G0TzfWHcoN1pO7LSVtqdDUVW1kDD9bqud7QLuF5rtTvNk6Trrg/W1zwHvltzXG99rT/o9jvDA+vazCwRxWZTFMnsTM3QRdI8TFSFmAYhEpm/a55IRk5RyeEm0fqfMSzLK1ivgw/Xsv5bXiJE0cCOU+HZ/JGlQ8tTppkjkkLEYlEkikRypjl19q6Plaql8F8Q+09zLSyjzqW0ori2RdLGvD64ARl3yrZXkWkwMRN1XzbIBSmP6vB5POSlO0wL0zgbqqxIV3LhubxlayzmR7Pp9fnYd/55XJ9UuBWc03obNGbkOO5yxoAyRabbhsteImlVv9fqoNPaX5jyk4LeiOzUaTUx37SVuyIpsmrQc3NLjEOMsUiqMSWIoiZ9C3dtq/JfqlcEIXw+d54+EXWA3f0gr0nnVXxeuoC1YAJ9nvsaV6KaK5MxDZLcFjJs1tuqIYsNUfxr9HR853lqhT+LTpHnDfW4rPEFni6KLaTt6UhfxjYdaHM5bDWer4mGJg7BIs05Lb9a8bPU5P9OHIxr3yPyX9cvp5tcSEBU2ipEMEzR9Z4q5ockzMPgNxQBtNH25GROQWIlHa+vBIagvse2qpNqmOcwdrii6rr6LE3JMdSuzZKP+O9OJGWMa/Rgo9pZr7b9Fz8Lbafg+lgAkxHabdiuw9WTeUDC1B9dz/VNhSuqEaVCrBnqBcUwCoaB23GuMsfaVcV4mjBXaqxPDpWTuNeUQR5vQei1vMAu2qRut1gT9s7ONrZQMNiWoKCVR5kfOKLXMt2ttkh5Jp5PmR0KlIoD5kANJ/RWrKGiAfb0o4K0owPuVn2/nu+U/45p6YBCWxa+fxVYa1tn3QvXq5c5jVvglmiu5/DdA9bNDGwO+rjJF8WP0y0+6Te1JOi+Q4rBIwmPipZuSz914QJr7l8Jom6ZfvrJ7wuyTdpXvwNQ/TcS2+/0RfhfxUjWIHaSTbAXI70ikElTXI3mIaV8FPBxP+VwZkY1mth+xjMaOu3BAKJObyxxjR5O6eNDebTfLYmryGY0B9IqKgdwNj8iX3aQW3KZW+WOw1x6N3rDmM4WZijwOT6ENDby2kwcUc8AS0Dkddp+doYwFzDt2ECRacfQhQAKmCyyLF2iTJNmxS9niUwKhBfquOk1PCHyyys8X+El6V/hAc7IUvbvg8sl9jj/rP/86wrRi63Ye307AnEQ1Ly7HzPU2AoTMpi7WBmjV51JsRaMSDmWE6ItR1zQD56F51z47U/HgCa7IOaxXdF7SsLEZKQIV8AJ7MvENeH89/z7PRD36d3xXxvx/vA6aQ+xPLir3AnQglDTZgocU+Ywu8QaRqF1QH3AHN2Yy7HdWesr9LS1doIoPRemeNfDhCcK/KLZ7tAsAfAAqlQdGFFensS0zZfkC4ViY8qou+YbKktF2XBmnOnCoSl34bBbkhdWitOrhyRZOtIsGlbxg87homo1VkhJqyzzoqpXayCXZuLK7i3Fw67AC2I1V9KPFQuaVjI686I539ZFvr56ToS53tRyJN8qlUpLb8vnCsVZa3Vdd3Olxowo8sL0UtxvpQBmDNxlP1A8pTPoDJyBp/Tg04Prna30f984yv77o6NHV9/ln/vyBnPDeOiNQiV3QBPzID4onmQsTzCg2ERs7WAq6LxamTLLWskpVvPFelfOyZqhFw1Tr280ym5uaqY40yi53lxtvlbfqH89J5tFW3WKQf4Quv7kgs10HD2GA4wRoP87LrUoekgU1rTHggvgRoNs+Ik6FfyawvNRVQGpW9Ldiprz00gvVJZKViWHeSsLhZLlVErFvKG6pGwUbwH4FAopmVEVXat6hcpUzi03NuoA5OFjC3bZaUzNepIoiLIq8MC/RbNK3Lz3WgBdoZ1IwL9IK43uBj9jzt5EkFeX1peqk4G8tlitLk5lQMvyiP0d0YC+NtahxxFDtVbM8IORcSukpThU760TSm4nK9aqKT9ZW63VVw9pmqQulOTq2kxDBp7Fqm9yXtVwSW26Mw0fllfENCS1RyvzqudOmfpR79hG/VwXMSqICrC3JB7GQX4BawGgqifoIBVojlyEcwng7GCd1ExIN1A9X6eBfzIrhsdWAPbswJNe23PmZmRd0tt5yelUHgQYhZm1qlxaUCVNO7RaP2cUR3QJDOiO92hxSrKsaiF3tLR6pHIPomPjmHdUN6dcT52vPGWZe/QR9BFqx60SA3inQfMncwMXQO40cWbEJOI0ThGjG7C7WAJigJEdg3UW8OgiKsDMaMteELjwQbUyY9tkRgMjzhBVclTWp0szbUUW1LwJf6f3+P4vZg6pknj3lAg2GzzySRt6rBRvJu50SXRqxcXdvw5tuSmqG3A2lnEpREmMFJmSL8zpCiIaYzG7wST3JAHhSYw3oCbSrBIsUzC9BirK2jQteFltoUp5lrQF+K9BU13fJiogPu9iastdWLlSvC3Mgc2HsBz1c+Y1SLhG77k0OjRcqFLCEtts8sQKVaD17QgA0Flst5UBUBN3vJ81iPTwFbKUgoml84zD1AB96tKlIP8z8/kvUjyhytYK0gkuBskrAnRFaEINYND1fpE3eeW1MOvCzPnan8e+9y0iAoOqn8EM3iKx+njz6+JjIulIUt4yH3/ctL4C+t9JETObNRpg8ioilqJp23YIzzLoxH3mD28kdOEAVxGOfN0Y0NRXur0gSTvYmDsyhUwfCRQoxa9V+Aev0IQWX3pM/EmyhAA+mQXck6aVl55/EhH5jB3XhR20TgYOcjwtQtILk5G2qC7dmqOupbknZWjQBGDkbYYtmtfw2l/R7A1TW45g5hQlZwqOZT7xhGk9G+XkjNpiVkqvG27WZC+nGzjhgKOSVgEJs3o9ue33n7UDHd4OwHiE5vLoQ3NPsaaghwEQf/IUPv1UOIZwDrZCr1ovCJJziELnh2Z1uj9dbV7wRf9ra41G7bWH0TcEchNrUaoA+W0x24LuplTaGNhDC4awiFIQH7JLw8+xuHeeB2FCqYxp+1CogLRBybLjzc2tzM19lNSOAtr7daVsuMdOeaUjs6ZsmlJ5DphVzwmKBlqJpHn1nJQX7Y3lkgaanyVXljxNLi513G18ycrcw9NHK1JRqvZucBsnW1rF4Kc6Zb3WqMiyAc+Xy7JgyvmaTVSBSLZSW6+KhlA6esSRCLy3vBDSB3GUx3VG5s3j1+u8780Lg+FQW9mpLlVL9bmpuXoJzlBhYdibq3ft6mLvxo1abePG3mLVBnXlkI9JQGrEBy3S4HLcTLCe6VcFGqSzrz4mW/J7JaKr/wWsdUk11KsoyeBAoGePSGgXS7eoYVpPMfZui5vF7FjJ93udQnoj0gKYoslm/u6973VjLSlXr8ZaMx955FjYYKkUzwv9/zH3JkCSXNdhYP6f/+fPqzKzjszs6qP6qKmq6Tm6p7u6u3owgxnMAIMBULgxIAGCAGGS4lAESA1I8ALXFMkBZVkSZMsSx7psSJblFawN2QHZu9YS3l3Z5m5YQcHr3dgVw5IVGsnh0FLr2PAKlsNaCdj3/s+szKzKqu4B6QgPGtV1ZFe+9/777/7vuUA3OdG6eKb0HFH90FUMeoDlmBsoDMGAjuQJBTmlaoBB0YHqot7wcbhTzkpepdjcnOrU8R1e13UDbCent9FzdMPWrdaRlkXFR01Yaco6OOKSO5lF/Ds6tpqzdEOgK2zClV/DSZhxXOcWC6rVQKePBy7oKwsu445umXOFfJmK8W6ALn1kZu8eOaBnO5KiVSFlyClmEpcEuUEPd8uyLBfeA6MNtkR5tHcJJH6Cl0hQpfQHFGq+xPNxMAN0ffSyPPh7JwXmr9Z8uEChzMTPpDiOcNbhFpYVp2/kY/GIe09lhopruicbhuE5iViejUgmi/Ww6k9+tJ0bxSPkYQn4bBQczi3tMsUyVQZIVCqwvgzLVzmWrz6r4wfJC55dROsBBsKjDMtvUpr+LY5NSy/X0cKG63n2PThGDZ//WLQcwc/YGu9qD8u62Olx/Bm4zSDJKAtTvtbnpiH61DTSvKByAeVr/s1pSOvTyPRcgMSIxtZ9Tk5DGFv3Qigrey76abfnnb3c2jZV0194+ODo2ftGXYMykN/Il74Oc32si+vTBelyx4H9s1JIdvMgFvr/HNhZS0GKD89kT8upfTWJrD5UOF08vodClW3vjyWFkkzcSBqCTZQThxNbJVJx0L4+kghiJCU+aso4bAZYkob/Ak03PkNRoKTdKBY4LuMGB9C3VMZNJBtvQaTtKZSG6tehhdjHx7LwaS2d4tujavZhLnID3k4kYzVdPLGLQznW4PleUjQk3Tp8HeWI/RE+F+issVRxeOOrYGw6vZM9rKyPmq350G5wp7LUYDSI88GX99i0FtRj23dj+3lqGwisYVNgoI8Zduz6dlwPanSC7usgeS7MljsFkAe9Ajo58EsJf3UM+u/JYfZyDpNy6l8r4pHD0CjiJN55G+zEU+SUjPRf1u4FrfE0nuLs7GBr0pa+N0Dulmemo3gvq/fFMxoYtkhnzaf7YC+WjRNlIXl/KzwNrupad2Q3IPdluMOXkhOtvUsXd5foyv5dF+cXbLDsRMuzGiZ5TXHXkuVyS+cVy/NMTOhyQk2v6XDd4hXTZFzXOTN0Hd5g1UaVg57kpm1eETH2E5w3hR2LG+1zx/zqifOXbl+v1OMamKyW54Ixws0jihUfpuDfOxRNFdvjgBkHgwMucAS8Rw2um/DQfoLbzLJti9kW5zsmb3jVIKh6DW5qalasouOSdhGsqcuglWTn/gFY0fSc3qICyIckbbQo0vRQ9DtNwq3eyHCPpGGb7eECIb8dnzl7ap4sbp09czKmtsma/bsunV5t7V+6a958wLYNwKFiVXxJRMDK9Occg5pGRQA2lHJuXFRJoTOwX4GCzIT9zoGkcO1H8tTcqvuV3uDs4IhbXd9fJvzIha2Ge+z83Xcc92pz/E6w2w4m5X1KmKEs5By8ZFNHwurmRoGqeVm8AD7pmUlZjLb9liG7xgIFG8l+U+GgKP9hWJTJOjcsAAbw/bCuuye2T4BatfhXuLWcvq/nhDLOBsa+3sAtdzGHRc1mxBxQGKfSd12DTMiHY9q+dvdM+TABr8InRafwqlxIvFQE/oMZWsPsabmEeCmPyE4OQzf3fFwfrqEPPEUfFkZJTNeD+5nCfmGK9ntvop37icobtyfw7M8sfZflET0yKpscPTnQjtg/hHa7mhypuDxeWFak1zp2wp5Crz1UyFjSsD1SE7PMh1QP67ahJ2r4+6bQ7xKlzK/VfGCKRhQ1dHM5sx2K9TqqmrDQPyclU6nVEKvPdrozAMwbCgmEeW07BiMjsPnHoOQ5GEf2TcEy6OVBFqWQHnLdD2HfkGYpC3x+EoMzRW4o8u3JJLI7nW/LOOJWzbQcexzGSvv8OKuMoVDog7s9GSVIh4tg0+6dJMupeuqrqIt8No4V2EE5/rlIHWtHOFbDcsy+5YCyCCumFxErNEnkmZVQPzGOmRAZBr9heY6JE9xNx7Pm3KDhMeY1Avf2Alo6KfB+FXjqLhkZAOZIwJPwruG8ThnFTMdXqGibGgqwlxxY6K7FxRq3lB5Am6dHcKZRjiXH3LbL8DKoY2+bgPnPZejklunTCfTwC3D5yDiCcwrx/VwNXMYaY/t8Xda2lu5zjPcVCIDWHiYZkndxWuxa2X4vCeY8LTeRssOoMNGMyG/9pHbyJFX7ReHlM3oWfQRlAYC/oxyxyb1zz7vfO3stun2Ojj645S20qkwiMC1Ti+jWdhOaW5xbRNmPOuat0/pjoZnyjP+y9n7sM4Oz32Mgf5vvLuMogDNENvvviXhXxEoM4OyCtpcmKLC7fX83q7JKKgjwrPX2IDSyIgAwgUTY2FbVUF2voX/ta3qj8vZ/+njtC6xuf4YHnohvfFxUe2sWPHWxH4TAMd2mRUgVjMFmSKIFrxISzxQBWWwfWSKLa/dHgjlEVCtPPVWp/qOv3ukMbdfza2su88jTd+pm9XwALo9heK7t+oLb6zqrVGituTCnz3mO7umrLbbUXp0zme8JbMU1qikRWktbBZvve7VPjeqAB0mPRCDAIB5khWU+uZ2m4VExdrIIybCLZOgVBseq4rf2RpqTwtrCPrDR7o5KDK1hw+RATui7Kmz6seZ1WTTzM0/IYWbXP+0Fa4tk6Uh7kQTC9EhY8RYiEjaB56uEWCYSTmDTDLfnMBGBipLTrsCoMY0L/kO3YSbjShB9eu+5iGFElj30iShgc6vtJdZaBbI4HhBooVmjlQrT120ufCCgB4QULeZji/US/jmhnZNnoRHFWPQw55/jn0EIW0X0io04u/muiijeCLDE71eAN24U2MJtd6vi49mJ9Q7LN0xsUvp/VarAA3d/9WKOAd7/tB+Y+kPZkXqP5jsirjOhlaz3aW14i+s9G6PZ63hjBk6HWLT7ZyNXtkanb3GNRL6C8JDLczVp2nia8UMtTDUJf02uxd3fwVoUID/0MuRgv7UFqGYxPFFC933wyg+mfMFSH9XG5grxw1lLcLzYeXUUG52+CD+W66matiXkZ5mcHMtGtWXZelySs6hvSRoeiNHspbkyBadDLM6PzkROy8/Ww3WK8Pzh5Apty/WJd8cJ//t2nX0hXv94gbiuPfSaF7+asx+EFmgx+IwnMJ+dffsGESgq4gYq1gjHVQF5+pGaQ9DrDnohCI/tLLyynd7+IWKt1+vrFvnL5MqQvGcpeIrVnZsAy1PBkn2nRYZXLlrzDep6y8ueSxvzErxTtO5ZllenO4T2v7oR3Fdv7NsuIa6936iLO6rBxlf7t1m1pVojDBvwS8vXcvnaFvoNpVMHYyMEQkUZpfaAUmKnh0YsVlbmEChMIDzL9u/gxpDa4qZh06HB79hnZx3xQgH0wjxCdsS21547apobeIx+wzSPPrdm20dgqfcLgDM5m+UkWQe6Yx+B5aSqAYt2YuBTLJ/FMrReAnJn0Pslq2Zds5wvzs19EWzh554jYJmE7u+74dvfghdHGDvLa7Zxn+fdZ9g1fvu5s+Fjj4FdtXr2nCZnLyX3w/lexxWtcneUcctlIu/L40a8BeYVvsYhztI76fS2cG5ZgVYJRA9Rtdb0Icd6+w+H5mPk/cGybS8H7wdT/vfAFDr6mDm8UaDZCNxNVsMlr7FNCfQJv7oRgpUmRCPsI/AbVf9EaFVb1bDRCOEXLreaVYa4HFGxo3o3QWPGMm8STGG1SL4AeBAX0HnVsq7hztu/wHJrzi7AmnP+wwpXyRmO9ZUiNnX4M2rx4Ihlrz3fM8VJAf9OCrP3/JptHQm4RR9Q+P489kv4W4Dpo2M48RFOvpzV3cKIyAivjCHCHEMMSjBSODwfx89zbj/55PXrCo+3/+zJJ18oYDCC+Q7PuwMh3N3bCx98EOBe3Nv7yhi0Gs4vlPyDflJdm9eWQFasg6Tojfab2ATBiS+52FXnP+JenM6NG/Reuqgm+C5+pdZ1yGqnajnPPXfja4pDdPLccy91XsCo2gsd71nr7gi4YS262wIgFs+dPYd87IbIyKIUjgHOZldEkpU1Cdn6auFBbY32UU/sDgqLvn9xcVGBVqtZTvdmx7Gqd2d76x8/V2TcVzuepwBdRuCMCCHl1svnXlK77emzL73fqi5VG/APfmlmsq4nQGqvyFkzGPV+EH3q0WmBuLiG50komxIt0xxG8tkmLYA+xg5d2d6jOlrhmsV5vXY5ji/LUwf/ogb6qCi5fqTIIESg5Aut/MpbIUcmcZxjnnfsI1jX9ZSD3MLnclg+lWMdFeMfwxkjU3cmGlnilh3n28Ta+7biY5/2RMpQoXx2ngCKCRf1BsBYwwRDENKwUFHQBS1bq4+QfBO42vrjJ58EpH4PtPT160/i9JYRSsHPI0qRHz08Bavbnt8b4t598PTze6V26b236jtM7WAPaB/STr3IxrvTzzCVHir0cC40n4cvKbFd3/Od+BGzsDu0LVuC363ZtGWIalnf3vz69Q/lWWAwp0XP0W4b9KLo7oEu9Ois1XpfRXb+m1/FDn3vd1e9C5bekI37pq/UaiX9g+baqqtbF7zVs7KZoKZ8ogT2dJ3uuGUvoxSL2atyfSoeh1iR1gyEvit7aWpjO3BlD7mXntLLutW51DzUjjL10g50rv7d3lezMD30vpqK663trulIF/wHX2rjo5j5KrfBpbGtdFZOaxXs7evXHVF74omPNZsfS9XSE08U7euHHgIIT+7uRRd8/wLY2It7uwiCqjtcJZ5WzeoOsY8KACD7u8Q9IaMdGOj6SWfZucdxrjr+TuBsOM4rH1oyjE1u7pic6I5zL3x81XE24deVDy3xgG/y3Kw7dY8FrVdyF9WvJYa1Qhyn3u+X4Dvf+6H3GsaHp974U4aBV/jG92cQKBwXCNJ5V3JXI+q3qKdvqHROCJsdngvFMCnTjU50/hwzOFs6tUBa22f6KxRXX++cvXTbGl0+fTt22PyA7IM5VCm7JjzQlf4Z4MaFU0uMG2zt9DJdu+3S2c5fpNykz0r39D7ZOVPLzvOfkLPf79Qe0z6kfUq7jvMBOrv5o4q5Ob3ZsN698V5wxUZoO3sTXW3He8eNfd4rn742+hw2F1sErWHoQ2aAupDnqN5kxq/bmCLBh6MWDvLFh7Z6Ax+Olb35+miC2x/LLSg7oW1eZwZ8qWprxNmiwa7DLfo6XcRvKDzw0YvVsjf/n6xxXSedGmeO+hEJ1RM7kaM42ruFjZoRUdUECuljrPXgeU+GwmUHYTwPgmfEu748GCeMSCVtBnubRux9zosNn3JhUYPYAHxXN06cOyHLxCybGNQSnP6oTk4TSmOXcLqHTzzy7UoQVNqcMtdc5rBJG6Itj+RT2pQtx9qigUO1l02XUT5P6FnK1nVKz+Cv9Gw04FMFfD6KnVLHgevh2QisHvOJXNx4VEEebWfTouVZcmxc3ZPtq0VbZKSBB0kYoAeQgmJVyeDvAQL7BUwuj6PPOKBv6Hn0fSRTU/fMz5ke87gjwHZ2Ljxyh+PDM4djVW6G3pWpZOFjVGlXAtIWti3ajqGLFW46AdH1qmPyFRwjq2Vnck9oZ7X7tSe0Z3N+hDoLqTheHkCTKy1l1BJmgtSRyLBQ5ZgRTm3NuJ3O6w3P0EFbbPXa9ch/wY+CiOO8RYMyautCtynWpZiybv9fyLL9jsGeRm6Hh+3F+fnF9fU5P/Q8z1duxdeiQG6GC4wxgwlrn+mWDj/sVdmoyzKdYXIaWU5Negau/R+rdmCfP7+1NdIz88kMxzbg/bGSvieTwOct1MQyzZFpU/XXkomgeAtdkCg58NSTykp2n0TiXkwwM9huAbddP8qRAJZrLpDkAbywLTiRqjny6zds8wUsNjdYit03UuT+IciNpDbUMS30LF9NSbNvCaAVA5qhFAlCcgNkwFtvgRTI9d5SPTqK3UR6mJeVVdiwjeSUAcQ9n2O8YdoAjWkIYpvqrHkudbnmmPKWF0znGklPgxdrNvCep2ZW7agKDSxOlZ+HsiXLbnlOMVIn6qksqEKwyvOGz5g2QvM5Dp6txSWImV5WvdmwI2dJd7bIl8ms3R5YwS2iYrpjndomCDLWsm0wQRQcDsIK/dtwqsqBPdxEOWVmtXb7iXH6zOz1dr6ETFJfaH8X5Cv2BdaKtx5BdB0knMVxOrqp7vj/cpvDz2exWe+pYk8CxDnWjmAfizqKDrWPlMUDeMrdVUr339LZi0x/VIef5MmPT9J+PfexemKX0z8Hy4j+Z0gi80aWmZSEIsSI0DT6Pz4B1tMPPPD8Aw/cO0H7Sdgu4oXPP/D1Wfx5Isef43KrlE7ZLNprk/TJzaQdlhGG5e6Z0OUQE2rL6FI6q/b6BFHKJ9a+WUYR/Z23AZoN2a9b0UOdezRapL+6jUf3CvRQQO3s/RK1XZt+memOSajp6KyEbXxk1N8WAdxV/LQjpNi+KJxrTirEWO7eKb/sxP1lHLTeXm33uufpODDlZPkaIeTL8D95+218/HJjHLq/M0EiA677bUIJ/Py2nQM0VsB/niGR2MXcfn1N+32wrOV+LQViYhlKJWTWu7IJmlOr5rqUZAzRRqtaWuTgOOyCw+VHXam3g6gTRDevg3OGCgzf6sh3I78LnOmY17HNSqE/ZumMZVCl8H8I/282FhYab+LDX7z0zDOXLlwgJ5LX8PDN8EZ4vJGX6Q58H54ozH3DQdb9l9T3PjK60bcD903UrPDwrLzBq9kdN5MPAje3V7W3ge7HZf1kVog4SP7bVqfVl9V56aQ/PP5XyCJ+Y7G7CD/f0MHm86qNcH5nPmzgYXohxt74K9LXPoIPN+r4N4t1blTcWiWwHMcKKjW34jjF14PkenjIfHBPC2VmZ4AVwIOesUEHPdn8KT1fv90bg723t0GR1el50ttr0bg3iH+jVessmEbXr1hwgen4AUC6+1BzN4XeEFbF7xrmQqc2R0UQOr1dJwzEbTcrN29rybd7lcBxrRTifzrCwXKdoNKTXz/AP6G9XfyCL8Bf5nBAz7qvPYL9KSS5E9p210S811fgI04IusCKJUAPMY0BC8RWKAT72/BOsi4YPMFEFmD3p42qxVL67za9WmNxPgqrHnN9uymB9xVkvgQzQPge41xeEEbzi/W6N0aJNwH6J2uxa45WyDM8J6yGvOZbzexbnF6Qff8HGJcXhPLiAn3+AVJjJL+BD9e009pFzGd3uhkpJNvlFjZhzU6OP3OsOUjLUcXIVgO7jZwosGbgK9aUC56y5tv/3qsC3vspkdLnn1R8+njGhjcOYlmkieOlpEme3qU2yWa2A1CWSJuqR3pgXawn1hweLUSmXUrDYv1CaAxT36L9p0ZdnJHHv8IfoAEeAAvWGP2BSMarzgjxp9fnrs+RFYEX6TaLfoCytQCPkQX0B0IZKDsj6sYbcNVIDvxLkAPbcj9h24Q1PEGARX9pzzUspU3q5vGMcBJz2aCGwNrHpC/eECx32aXvgrnanqdyWqijt08sgeheOtHW1Rt0vr1qOq0vqdNvb6hfThCIZo2DF7HAViLUr9EKWwBXjNeaIgicbtL/DnsbJ3mxtjyTQtbUUd5Y+kNY/7ZMQiXeRTs8RxNfYPW2I71ea96uOPWKe0y0j9y2+rX1S+vw07njmPG9J1YXlwntVJzFE99rHLtDS2cpKB9gHnT3tnZeu097DPyxj8tedF2BmVbYp2HcEHvn0Q8HNoxCfFjGqAM8WesBGNEgGuDW3NmF1W1hzGyADWTgcRPpO+reG0/1MN7wK741b8Xz9Rohyys2a9Z0KzKp4QXLbrVB3PaFiu3V6vMxXHVsecXhc3W4wDrXbqWXXFOa1yx1St7qLFi0NW+6wn2GUlITYdd125FT8TxjoWb4RyPwycRCxxWEuOZ8q0NpTURwzZHIbloivWhB6ehrpR5NLo7ja11N2w1VW7SRO74n57Mm/gSoadULKbHCwMp6mPOzNih6doHbZ7l988ZoUMIRXT/eNri+qdvwPzfax+HhGaNQMxHCCu5ida/sfSWVqpzzo7ym8aPUhWrBvd1flHe0k/v/2yyQm7cFfzO7M8/guXMU0r0xGl6R9RBA3lobr6COS8iQP41Zz5PBzij8m2VE4IV67eZsT7ZXvgZTqmOL61Hux/7m1KVJ+4Fr/072ydIG6T139mKee/6jpvlZ2P+CVJInv8Bq7BK3rB+yLH4p91zLfFT4Tqol8fEB1kmMvm6ZFF7GX/r4F5KvfWf07Mb5L96f+95Hiy9H/QVOyNmiWr1dHFwgkI+Ss8WFycM5hn2K8QjD0B1wYTu6IfSI592cZzi7HKJM71LaRaEdXmY8108IT0buJx3fyu40MaJkLIR8Y/L2l3NTR0aM+mYZHM9kcNZzU1O0Al16k3RBGLtpkE4euVYNVHNk+fA4VGaBLF+cgIUzTSujSza7qzDT67tFl9L1eXMaXViOLiuw/+4o4ZnxNJIozw2o1x5p54i2m0waqDMjG1swzOZh5Cn4rRdkryF8sDD9kV6ZHo0ezZdSvrSa6YCdEAs37xeBU69V6Fm+PojMVzLguiOIu9msjlfKaD7MoMxDniJ0s5z6GT5celdHlPyDbdMVYDjfTgbjKzE6IRDK6KrYBW/so8GSPqc7/scyqn/cX/Dh557T8EbsfrHFo8pmpcX/lwyMbzbC8GgYbjnOwKv4l9K8sJrN5GmNlBdGXVh6O32sc1nrDcIG2jLYbQu9wIPI+dEKQuLTwNaXAkdfejxyY7DC7imj4gBBOhqutypRsxLxlu1c8ivewHlrCvNmusOSEGv1ZHIRtgoYJV16qqWO7IAzhDveDMObMu26qLrpyEdgw+sv+9HNjvSnu8aoN0BeP63giW+04VZl583VtW7iqI82CLYUitujW7eToP5ueh/srIO7oy4RrkfJk5okxVVVEfzPERQM9bwsAZKTfBCsoCDDVsplWCpnpeDN7cPOaWrqi1JqbOlFwfXl/WT8XrQNprdWkFlVbRWnLgyKQhy+/KBl/yalhTt+sWy9f0228xzd/No0GaWP7ftJCZU0xGikkd5YAaw6Y5wjOUK8qDvYqgmdjK6uPwH/d9ErweZNhWDex9AxgetSgTuSunClrRfl5nKyV8ahSFylRhr9nphH1i7GT/5iEbbCq7+XzYx6Y0TAfzIGZPHlx8oniBXpeRxr9ibomeam0iZjo8ZZ21G+CUeOro8uYcHQEihFVToNTzaG+BZKwzxhrywa2TWYmuXPpa04Mpougr95m+wQnuvmNQFM4Qjv5LS3MeqC/hyH8TjI6QTGC2X0vYkJ4yK0LyVnff/2FOLm9048yavYGU/sxoADdiucNI62o1/5UEpTwi8ZbL+DcmK65fErJr+bX+zuO3ddjrAopKPjhYYeXQagtWKfyiMYZR2kHXblxOFR4914t5cDtKcKyXKq/VX0fdGjz8D46ONXU1AfrzrdxH24ikMFGQAD/rUCBjb3pdevKHh/1w1efxe0KjXObicltDpzCFJdmyAUu1yUezH4Y4Mk5ng7mbj9oYhVBGQKsaS1cTlMNrkUReGny4jFC7RCS/Ke6fSKxyy23kEWWwkh7ZHlxsls021E139wTXWITw24pIiFdfDtjqoFzPAIpI1xTntYzivK576XyEHw9g9YgDcOMDt/rnw1ZDtGhUQpAqVcnLed0I5bknMt92dZcjnOnmXRDSZXZaNg2T2XWnb/anwpbij77pTj7IF9d1eZfbchdVY2fSQDNg/LQaz+sgJoMQH5cQXYI+X0fUBBZadgrybgOeWEzXJnDnD9ovRn+yqjiDaeqjuZZul9CEnxe+FnwXr6ZyX2HnxoPgIG1mJXOK+MWX2ZzVeXMXCtgxMwle4x1L3PkDi7bz818/IAEFHvOtWr0ri7erEuIVDW3h9lcHzr8ccDt5OaehIKafANRwZoUUZOeK65PS+kIsE2eFKxlGzpeWmSyYhrwQgccc19pyldQrNDmYJ5O2EJ5fOo9lHpjsFBzPFNPF+4JdUGGHn0xXKu+CmUetsRGGD6EqW3zeKFjA4TVktuTx1gDZZQZvcwVuGITHejbmsto2br6kLvygdEdbnFHJqHtQK24RZW3HdGdJGDOUa8lAo+kdUqJO3celm1QhJbT6tFgZ8WJWdJAj6qZ6oDMAiLL7+VFsVdkXwm7ZTX16Xqg8sAXbjGpGOvtQl672DnqKn0PtBGSwudSii/ONMqm6R9L7MbU9vsJTXaQBuzHweyrvnQsB3Ey7PNxykK5c1SAxI397EpuiTvV6wCn1+ROedUEYosO1yyDv30/EpJj+DuqEVw3Ed5/wxPK6D4wyUWZxfzsJZJdCGIY+FMXoc4gqq6qC68fjVRicRgr0+sEQFmc4Om7Ce8rBTxMvZuauL7VYKWaYYnVtCpudhyvlI7PZYijGis5/LeqOWyyKeaJVEOY5IlSFHhlOB0ISPIa+WL+QaudYIadqcqwWwxo8qV8gUuyvPtGbsqluejci0g11QPyFIBdtfRowAF0Y8dowDa6AVjJeJr59QpnQt9u68Lrqvn/W1m0xxs86Br8fxp3oONI1mFMTicv/AJ3WFsDBr54oVy4v49Rm1WBEk+f3LKPqEFOo7sgmgkZZV1oMwAkghONAaU6v+VRCyi+h9bk60Za9KP2xv0uBziBCYBpodwOpgos58f+wSxKHc8zp0dh3PP4dQqEWddx9I/IBixbcLEB3SryCNNNaFs0Bb9c1RSGHt7Y+kwzjuP+4MD1MpvlgBxukyLvDEBx8UyzZGXTw05wf1URvukmYGBU1xS4yzt2rKccccgVovSN6r8yCqv8F25LldUN6VTFyR4d51S6/S9fYOI7YZO+O6vq9WqJ4MdLxxD+Iw7l/L0MuU0gyxqGRfII4NWA2kh4YMy6ZImLz81osrjb5jOMSro+lHd0mF9qq8pyK6n9LjgiDeOUULn9hnRe1eBPAW/RgAPrYO1dCmpFloiqbCKExqcJ9NsuHDsFKmMCGBxUbeGk0xQruA8kdtL3DXTrjr7TtW2wpXoNVys+hxhjJykjNHfHme72xq6a57E1P9J09UbvmzLmsMhBHvvpHYG5xcMSmEScrDQGta2S1ZLz0ceJBbeyIN5uguY5RH76+Wy4bUJaP16HT7pS+ROAprlUoLl1qQJlthutiLTdOiMFTh+KKLfOASpWYHOx7XbD6LyrVP15Vuj5A+X0q8Yc8BZNe+ZHc9KOxaPAjTCkNYsNmRfngwf5gfSlUjQfZtbzHGYxW1DGOqF7M6KL7tYmD4q4lbPJsVryzV0w6Ggtx2uGy5eCO9wBzS5bP0Eb3H+RBJ/7KpmEXm8O6ANbteG2tO5uFl6JOx8etISp5YpvehTj6QF7m2RFbu3D1rAV+C+NvznOPKXidhiSh8euolRkn+4WL6638DPZmDswEf3FJHtlC18UR+2Z+nDmQt4YTIAPFqZ9yQebnYvrGM5MbJ2k76MB+i3qzkLvEytXVfG9pPluqyI5/EZvnUokv4jfdk3DrvHl/kynXgpjj3bMo265U3i3F+176z4fjNgjxg25bSo6+tg7/cln6lT8922Up2oMQ9gnzc9q26Ylu3FAEDndDl3/H3LgXvaxiMsaPp+5U77e8vWXozgsbUApBPaH+ex01cyCqi928UnA9n0FQvcQmmA9wycGnYeJ4NNscRES551GoDZIsdOYEcTnMOEfZNlA0Q8USSMjzL4ZzJCjQEeDedtxgxuYq2uforohFKdkkcmjLqf1W2vbtfqVg1PUhLdaLqOCX/FHWHplBuW4zW5uJMCr1iU6NYRQhqm2QD9iN+pk6cFbDmbECK+OG4d/jcGM6IqbB6PGLYD0of4QcMTtq3rzLHmKmHIfNPO0Q19/nu0x7Qnte/Rvg9P3c1eO+whMJCU2SCqvW4Da7Ri2SDOI20cdCEpM5CjLsK+qjDs9gysLlQ1SnDNniy+gwuIKF/+93OwqnnTA8/HoLolHGxMbDpuE3wakDNm3azXrIbJgSiWQQmsQduyOQ4AYoaO9K+c0AkuA6XdEsb5DxQIaPosDN2m5TAdLEjhNQIfrEnm2AbxbWp4TUa7sBwW0NwyWjoxTbvGdbCiYE3oRWECZAQs0Mn4w4qsD5+2O7MY6sjGzNVflm1UNc5D0YYZlltt7DSqrlUipx5QA0Suq+O43DAEClkxlltBu3MjF00t27C5klFfzaB5U4Extl/z8DBYuHSESY7ov5KDg//rEr9ylszujiqoBmUym9j8ImMXOeyGCWLsc0M/Sh29p/Mi/g7YV2h3h0ZSstY90GZ5YXSjKVbfLz9kcLiTQ4/qxg8dIn/Un2WbTM9nluXbJnOZk7S4bSKPmYNnUTuGHSxnRp8O0m0lAadPl+m41ydjTN2DfDfFIzMolh/BEI/l9kso9swm3n1zNNjg5VJrrKp0/r46gwsPxnisdBOpdmCstDwxpF6VB0lfy09dSGEtjY3Kmh8J3tdHDdrG/Qis0mnvSgpN1XZgtMNmyGYv/XQcV+r1909orqs4LxnuA45HK3zhQn2h/vVxDVR3zJdkcVHreCsHS6DNaV2VZxq7V5gAdxCHXc/fW8L3bBnxvpG7/xWE8Go5e+VyTEpmo+1874xdOTrREQ8KAYI9McZ9M2zMTdM14Sdotql+RI6n9v3GtdGkajWHs9QCPWHgH5rtapuS2qo82em6txupdYwzngs4VZJ+iFhlfVgezc0IGbUaH0d2FKwoZ92fyyHBUsSW8+jqCpFSdr6hYuPrSdXCfYhsfUUh6/imY1mOefgck0jO/WA6DDOEJevx0hvXr1+vd7vdSYI/W+vWO516t0DTJtiYR9Q0uTJLSeXaxG4/xHvLOG9fTkuD+49bOm+A0ngJ7gwO7enr4Ipfv543VB5/WThvwocd+KRTA++ym9tLKmuL3a7VGOpGGzzMWXH2ZbmaIS4qOrdykNsumHHXdXKUwI9eEi24co1xYnF2uhLgKQS/cppxi/BPnyJkjuhzhPzaZCCdYTVhl3AB6yc4qFV4netFiLDjOZ1d7bKc3OCTZLZbIzpHuz0c/rbbw9L/HFoHKeZnUij9cCUkQQIl+FkJZlNCC2+Uw0ouj9B7oEyJZ3joWgi4bMqZdeF02mccmHLhC/u8jA/39/fr+8iJw273ZjkvSm5Me2bk+fEowNHHHOOhebKf8SV+Mos3ASzgwf396/tT+bOjOBT+FeNySm+fkt2xp1Eom5rULhRIxbkPylT4SD++kilLa1TPWrKdlahcTETL8axmkuf21ZzWUdPacvPS2yPpiKmbsODwF7BSswlz3Nm/OoqBXM0HRNLi2ytlrPmagkwOW+fEWFN6/XcSfF6/0JluU87KMseyib+MJWOaxpP99YT61S2NDwzrdTkoFH7hFM7F9AX+WqRmSapm/8FLONvi0oOMUcGu4fO778bHa4bQc7Auayel9Nogsg889n6P1S8cnuirtjQHJ22uEsekRbDk7NAU7lemWOqcmUYeOCYoYwnog8PkwWblXOJCXaWYmcffAm8cyxdkKVwYyvquqDSHfztciYUQoaxPizB7H0ayslM7OA+W6wN1EEm/PAmPfD4lDfZ3JoGSNWHPza4JMwHSFbAFH5TSc4nEojc1ydBDqRmmcrSfStFdZebHcoDv2qYcmAqC7mrdrNbMy2XMvFTDf4t1/Gc6gnJe5Q78z6lwvlCr8SXXXfpvJ3yAeq0G19fkz+OOqLUMR3d1+HGMVm08Bx5qLbC5Hs3lwPPw0XaITZ42SZmhO4Ef/J+30J6RwyVNwniNuQA1I2anRsxaVZCX83ZYB9GTSHYTi+xV/F3Nw12t8pbjtPh9eRNMoikfciZyLm+J9uSBdmS5TVhq6o3XSd9fqBxQ3ZrG63xnTRXu5oYKj1UMXM/V/R5YKfC6yonDw6u5Q0QyjT6vC6rrK3X8sL7Cqcnn5fuqdDXHB8e1M4BPViOQDWaeXiMwcRr9wArhg2oEcipnv6xc+E3EQyHGTcon8VockeKlabXZ+Rr/YyWV2XGiblAcKn2TVgXkirGvH1wNAGvwxOamDqpb397GYjB99ErWMOVjGSdkLGMv03XjNz/wTNdf0MfLANIXOqmXHQ34P/QcQEXwdPPJKQcFSI52yVmQbHcN0/UiYUoE3EHaGM3XS2gus/69dj7r71GRP+b012Yl+7E1SMe2dPJJsIotsKXFJ4lu2cU8/3qW5x/083n+Fo37B5G3LM1/vYysN0vgmHrsIgcfdkI+mtK0mOcvz/DDfXey/P5TE7n9KPiZQmb/6mRWvxhfnZPxxTRiMCHI0q2dwXZD3XOYLdKvSRr0dEs/uk4FPfYNdc+nxvq63ejphO3PUUKPjcV+0Dc+d9isPp6iKMvphpPp/Gu583L5TO4bAocfN9MkN/nnGaTXQupaJ51KxTlpuTREaaIV7IHW6HxceiQqVqnksNj2VxRwABAPPIZogrWygQ6slYD6KMvh0i09qglo1IXTk3A2cpBXaYLaSfrT5WyoF+i/MS2DP5vaz8wk8PUDyJrjAaTrhuSB2VS9dSJ+/pbo9pem7tl8/eCedhEtwsnTPYfM1KceWjEIlz/04zAb09Q2c0BVqhdyNhK+3H9mMnNdOAjkGjgkmmOmWiXimXrHAIWZ5uaflC6byTupdzmem39Qe+awufm8A5p7fiizoARRfLFfkpx/tcw0+FaGXhnC8p17k5S8QvW1cgshr6sWynRV6UJ9qfQo1itJlDOfg1+cyMEfxMu5HPxiGRPLECTnU/Z3Hp+JrBXy6mTmPYdXczPJuFvGYi7jDvd4YM16FuR7M2DPi7Jcu8x+wD5YIsUbDA5C99ctL7vp+8oQ/vfUsQp3v2PKbs3ioDZ4wS15qucDxUz7mthTqfaoPNVeMHHiUYq9f+gUO2dTcuyZuVQ/VHL9e3FaKibXzSPEti3R0Dmmi+HLyDPCEhZm140nMsPrtw2dx1Wuux53bG4w4lcbnmE7lDLXiitRg3umreXy6ujT3Ktd0d6nXdVeSDpbzVin+IC8+pocaYv/zUyst7PM+rBsseuHSavb9qy8utFNE+t5Bs5xyv+qA4lMjzcip2m5jFLbMbxG1SewbLZtBLbO/Yqr0w4sgYm5db5MKVC8BrARHbvjXjRhB2Ju3SraVT7YVWUW7ygzk1R4KKICJXJ7r62y1/trzdCTtPDCZh6B63MrK5urqx+0TR8bq5kxlknk7o09TzZwyp8024q58f7u+OqmSZKbxYQ9c8xsVYYqU45tT36DG7As8E/Ak98otML7OkK1uTJm95fJ0lymPC9LSzLk8LWfwNy4bsP/BteKuXHVN203+7qDZEyWG++U8dwnHs7u9U+nyJY8bhOVTbNP+M4+1ZvH+VrhE7w2h/dC4jcq3Vw6nOBQqrfw/frS58vU6xsTYH70wPO5vlqXWRp0PPOdo8zfyOoPJzPeQJr9NJHIUP/hQ942Qz17UtZ95jVteKsBi2Gu+HEERqeMQN9WQe/VBBbOvnUgfYQ8Z5rPdBeVzZQMd6Y37smnl1/BxPGrmfgf5pPaBbsVz4VuY9S1fhD6ojsiXsLGccJY3TIafI6AEJKpbpxvgcBWYtVIcYIOQ9MBuGRW4SUEXCv0HkGZuTt5ImrnXWS0cxz1iVvNZAOXPZzksIM2pTW5uLbr3F6wI7Xi2c+mtJsvypjqdGjfral8vQyHfOI6weNa2fr8zsHITDGKtbydYGkVsKZwskU7y2UnjTlGUe/tvV2xixGdfi+JDeNK/H4U3cB/14Lotf0w6OzDPyT3fUNQZ91at74fBd39WhAN4UU+bxho82C/rQFfnNJ2sCZjkndTKNqzwchxbtd03pBpbPh3zXRudOEFpgTHeHY4FM41BC7LbANwRf0zUJntkTorkXlJRlt110MNPJ7RzjnRPz7KZPskWgnTTPZPnyKUzKn/fzwX/OLgG4ikpKIrwFvg4/nrfTUt10jy12mbxHaawG6LHPQHcmEhg+1PJLCfLm/1MAHk5Rw6n5jGePYE3y1KvjsuM8izua9dXPo4ySgnnDjEf6D/n9mvp7w4LGfI/ZQl4R/ypVPClyclX57V7tDuulXuHAMTc9346SSnInQyNbRfT3n1NAI8i187Kcd2u/tdrShnMea4U9qRKidBi4c4C2K2tFHJj49EUU4s2QfI2aGSQptKi84lMintW2Lk9tqc7OJ0Qc7qLst4q0x87oPciYFDMHYK5Us52A8rX2/OQuLGFAbP25FlnXcOyILnCP9Dh81+A72fevAuTB7f9aBs3/9Cllp+gZv5vDd2J7qQ5SamA3KQxf0Uy7LcZfARVimzxH+LMH0qqMx4z8ExjzLva2rGO0fNawdluuGen5LvsELeGf+q6AMuyOyaNlCdncpufGBM+FN68s3jme5S9+XXdL0MMN38zBRfJh9/nQOf8W7UZmnud9wsDYURqcY2eFo1OZY2SKVaP0sGwzf0X60RUa2KxzOj9XySEWY1zAjLHHF9lAGGx7HENpqyr47nsJ1n0wR3vVabyGdvYv3gzHw2PUgOgJ6eyG6/lM9nK+g7CjuSc5k+ejFdBXN/hNb0hPbnS6XCKLM95kMvHxyVKY2hTAl7JDw6PzqPmOyUpNlGcgfQrGlnvzH36U2UaT7cC39Fsmnvm7aZ3NUe3VSCAw6bGs6YTfbRCveX/Vnx/mF3hOHuqD8irEh283E43roeRBLt6wkosls73OOfqV/4gNCQKPi6AugNP3rrtSBCWN4wHXmw8OsJTDiP7p0kZ3heu6wNgZveq+oI2hKe8T4l2Kq50SLb5whWqGHgS04eOocbJ8YkBvZXNcSgH/d7bTGI24M49xzrDzBXkTYymaO6aQnmmRXT9oTwbMNhpseEZf6I0TSCZq25ZtWt7dxzrFWoO+brslLhNTDg/4NhWMIymMGocAzTdyzHt5guHEwc8DONxnB4e6t1e/K76BsuJLZVUjex2y/DWBdtwKC9SQEF2B+IwrVreST+huEDcIGhW8S6w5sA8O1v14fDutNqnRwOc34FnnDYAZ/9Ae1J7cOzKK4nDXPbu+doD1lDWiUe6aFJpWwSMPXi/kCKI9GG9wd91e8WN/ZgT/ITml/j1H992XQNZjLdYMS1l/0KN3TBbI/BL8u5QKp2jYDRS0L/PS240nBN3+9RIVyXGZNo/ha3XJMTPKFj2Y4huE4capiGs72+vj3c2kJDzXNE87jODDGvy/2Q8N6Cdq882zRrFbq7fQy1Ii1wAhRNBiYgv8FlWELbogk/9vI86tEii8ahYlEkxnCYJ8cnqEcYBeMFLBrHsJhwq66QxBDEYI6wuFmxDFfsUmYCw/lgDiRcK2xmEp8ZljlJlptgQFFKKBeMUgo0soFhDcopBr/gDdPDk5UbM7k4nSutaHW39jHtJw+gViNWUXtAFXXBDvZ+CPuj3sdY1ae6xW8m3ZGBdzDCj/0HUuKBUlTX7MblxI8T4jeiHPGRrljAldH1k8BTplUR3DIcbgjbYJ6oBMArFgemYmA1GuR8QlKTOYakab0iFEXZtfFlqQQVAz/TDYGnUeWyCLuE9N+2DV2HrzNxAbhAogPpDbuCbwBhOQX1FgqbA9dTR+jMknQHlhUUVsKwjbBk8Ww+vnja5Pp88tbWJ1mCd70+7V4/3hr0J2l/TSDjegLwdsAmBVwV8WGPAjET4l+YTvyfqTWr1Wrwn4O2q8MzZwr6B2tW7tQe0j49UxqGCme5oVs03lU0S2nSC1NpKVAGwsW01x4cVh7kKXeOmxa6MvDgm17omfLh+oLrC+G7Lu55HbjA/uFbkQbvaPAp50Bm2OyEW1Xb9i0zsG07ME1/d2hV5wLLNRwT6MPI+myhICTtFkf5Rzwd83HtC+X9xfQxQg3ydMTp07uJzmhLvXKO4vXxiPd2xngPvjvhvUFfAPuB3hkAD/YLbcpOyPk18sEXft0HEjZ88ZUFF4jpO9S2gX6UWZ/TTZQJI+6rVZQJoH+gOjdXDUgQxHHNJ9966aWM/f7ENnArGoqcgQ2clZIx2B2a1bmqdX4b+NMwHWMmFx7rdBcWup0FbfIMxIUD9nA2la4/kHo3Fn1p68S5mTaTW/Irq8vLq6dO3R0ExK/FMfwKqnMn4B14f3Kf/UHDabjD4cJCpzs/32m6Q7fhjMmbS7Duj82GVexs0HT5qJwqgiWt/YwH9mD1KfYwCQcj2BH0/f086J9mQE7bF8x0A+4w2gqYsC0dloozSo76x/1Tq60JHP4EBD+zAssWFQvW2+aG73BFfdt2iM7p7nDYag3d0MV4TYJXHaTBJTUvpoyfhRGHB9uhveRgB5pG+VWJ4d0Cq1KdTLNEX/SXfX/5+NrW1trKyhkvz4azbc9guLoKeJ2rDN26swrG3ygepfbssuw7d/sU/PKQK7csnDTzQnluKYfHByWwp/3wdIPUrNR8+56VTT8P9+8OV1aGy8uVc+cqlXOpeea6wzTuXZPwdcE3xszJRfSQS2UKmAWNOEJpIE+rwBIMMmM5Hu2K0VsFUL9GPao73Pdcbhv35mzo86BzAlKtPpZ7r7D5/wC4TefE4Dv9SoUZTmJft0Ch7CfPE1rn9sh7tQ9pn5i9S0AZtOVGMXJiTrIXXdugCXeBqIQ9pP4e00Q9rIPG8zpK72Dls/z+KJzc+jolvs44cBoIRcH8JSYcv2ICo4EcM39VBw3qej53dPpgy/elyQ1qFIwcV4iJbfXvGJghYGPbKArhIu74qLE5WFqoVZg4gTZTxe33DYNTfXc4bzieazR1oS8IXGc9J0PuxWro78D+LpiAPcUXMpeX8MWktf2ZnFnnYmlDYm2Dc2CAgrQ4SAsg0tk8l7xb65oDzSk3jH7freiSxZXd0ZB8fkG7Ah7Yi9qXpnP5d4D5uKIdt1ikvI23UDL1Cvvjw0W7t5RAwikS6LWCxgVlCxrXM+e8yqrnrhb20Lsh3FpmvPDEdrF8W+pef3F7uA0/iX+ds4WfwG4f3y1fZWLnSeNja2R8jG+4zx3C9bgnt+1+qjoXVwM0OEACTTN6nYoyek1eavTCB0LPtl25fYGZiHMH6Gyce4uSZYAmRd7YAI7pSU0wifBngkUCkiOsLj4K2gp01jG/iRbGpAX/u2trwzlr9fiyNDCWlhY3V1byuV20x/e0s7L3yCx7fFwneaC65PlFAFds4WmKQ0YjfjGnsL5P+MYRz7I6jkOWZeyhImbGHkYxhsqc63qeu7VVr3e3igGHPP2Pg313xwH0lxuzL5Us4haPWci6kmpFC+kXFfwVxOXeBbkzUkMXzP0JwP+jBFoCb1VjsFn7urAqFSOXt8J16AOv3H9Lq1B0g0CBHSfjhvp06j884eS8LyhY4jPor/AAF8a3hH6+25mfl8zPx/y8ezGj9a69PDGGbr+d7Yc8Uidz4lD6HiATPfMv5VD9n9C/JSUO7lRPTa5ptH306Pbw1Knh8LbbCrjdp70P5N21mbi1la3QFbLX4845uq2KCUMwXBvKPQUt0qJyAcdRLdgajdTWGEfcNE3d0AXWYxIQ3BbofXRTOSwmuERSjQiDMePnc6R4seX5lgPKWAcLAXhw0uJ4+09c1EeEYMGnoXPLYdhhRzAHX4FsBCdANwyDro7IA0aHW3Fh96HRoY3Ll13tvPbALcqXUlsr3hv0R50E9uItvHoWh18bN6+MJdOILMs7YoiYODMZvKmkCjP0eWF4zhaKG9ft1jWes6cwB3Yn9jucqflmc3msxP2YR1aU918uKnxPudjd8HR4utQXm8nWQXzedc8nnlh+rdAf3gKMLqe7drrOKuPOwWRQ5jiZhdVP4PIAKzpUx9WBNZmQSHeXove7hdWpj4SRxW2h1xLExvG6XdYBvwu84qSaAQ/rz1ByB+B2Rbpsiy2591SE3ahU9EktV0RuHxw4dOOKOi4vizCWhl3DZuyuQ3o8vSnow9ZEEvTa4fhm84qeTtAqeDo/N06DDll1Pfj/1p0cS0mYxK053e/jJi1b48ty1uqt8+4UjlYe+SGWd3f8jR1wzg9k3IKQQTd9VJMWJLGDY2CdXQDOfe+U+EE5P05h05GomR7MuwFmGDdcNMOIMNAMm594ZxDdFr5natDudwus2i68OoqRiOHIXMjFhdGHeBS8049glf5MaRqV+BFxuR8xjZ+LIdAdZeFZVsGlAH0HPCx9CkAZfAqdoFMBb5iGa4DThE7F8fFVf29qDDqOinq+S+9iD1gj5fd54/TQCuYSsxF0/HgMczvrfzWF56ewg/IwkozCM88UkoYtxCu/6qf9JvpMkzxdWGEn8TC0gm27AVwsJzPNyDjLxYr7SRq5l5pFsvOITDCLxPzD/wV60UVZBFuyUllOcsgeGD6VqAI+mnHeqlv3e149cEilUiFO0PAqJRtzcbFeH963pAMyxpE5WOKw1TJ3hgP4N9zRxvTkupzPcL+KWh5Ed0NuNqB8qEqeY1kbjUaBCNW6JIzYFbJ8bqcsjvI6ukfC8KuViu+D1Wbyu1dWbBfYjgsuXKdic+BQwTwH5GaJUjEAL721uHgeUTs/tC3sSQns51r8jgblwliODNOgoz1Zl/LnDvAL79c+q/3itJhJr9+iE+lCqWkKAZN8vPDQ+7d3QD6ykAwuCLGfJMQnBkdzVQadRKXqGsQDq5WlyURRQQ31QC72eOJQO75flj1WaUozlz52zIkwDDsoCuM2hsOG02rZh8m5WYcK7GTx0TCJgV3Vflz79emrWUrukvU8VFj+MEuNFgjw/9Slnrx3YaV/Cldax/qDg5b6oemh/83ZK29glwpYeu9CsvZCx7U3uUpRw3sTOepbD8HNrgzoHkZnHJIlivHgAyTYlKho6RYc5HIZkwLs7x9q4wDxviAN5XcbA74TjWWZGEC+/0+J/rkLLORPaC/O9EDL45MbdFIs9eSE78yJ628P4t6udO7kZBFgZxkTjpPEzVg5jqnLXD23uWQ2jknlil8p5Oo/BeLclLlUH9aZrzHTMQFt5lkU/CI2XN7w36VlsejBFkDmsgLbsgOTmkfR6Cbg2NscWM0loCoqw3x8F+l3v/aZ7xL1MF+0BSSKwvaGfpBL8q6Id4+sZqh+CTiOMoOalm6BX+gv6SZgZjLhw2YvCXscinzh8MyZykHeSs72UbVn6FUfGIVE9HEPxaMY8Czn+UfBv6j7663W6qlLpU7yH6E/URkOhy1wh4cjd38sbv/ggRmhQwtxUfAukmj91iTknz2cuMXoxk+oQL18PGjBphWnYLBjmIXnCzXMuDKzsd9NgtwTAZpOp7Aax/3wU+GnShfi7d86JzOwyRIU6xK3sIPLARCouxdqD/Ke6RgkQLarVT9XdHDWD28rAwpdsbTgIPE9i/HoLW1X5a2n7nppjEvAJHD9fD1orlgpD9+PeaRgjD+Wq/q8qzqlDOm3dhJLHGz04dlW6ywWFY1s1bVRbQzG4qZ4ygdVxrTH3IvyXZgzPWrjUWeZhPtkxWuMkKt73g/hBr0s+aJY2ALKHjR+WtgiK1pGhS178G+4u1vcuKxQR/lenC5xkOZuHM6i6hXLWmSsa3LbnqY+k4aWwWcaWqcLzDdc8TbetS5H7oR92zw3HNmxqmYB8ySPas9OWelbiBAUAiFSX5+hube2Ciu+PBJcifYp9RCuFJIoO6Cp/4pKNPpKjOXZ4HCxgER4tSsjMcZy+3RUXTLdsy4s75TqkuIuvVZYxGOFIpONyeLn303kSKdQZaIV4MT9eXp2DiCRcWkg4AAYf0ilPJu35SqYZQnMpPhY2lhZ2VwsAleRsJ0kJzUfOCqGXbWcO4M3AI19XtOqam57WFWT23fryTE2Pfktcr8HY6/xtwO2Ldbgv/2npjO8cePGm530383Rsw5pppfg5deu3bhGjE5nv1PH0211vBQe5Gm30538fFNX9knd1rSE2RV7p03YkfHjwgGy/Isb65eOHr30KD4c/yU8AYYPK1lHmk4y/hYeksvg4U1MCwGbXlD9oXdHvc55Dqam1gX63YEn2TYS2YqhjjyIxU4xU15skBtHzrbbZ+/BhyMZuFEGWSeDt6swwId68jfwUM9gv6KAvV2Bflb+IrmeC9rvJ7CrUzbY7WPUhbvQkjt90ZUH/ghXZ+eujzrAy35+bzJ+NWlxe7Zw45L7dTAe56WnQ9TRo+S0Sv4FEcbohvJe6cObyV2n3DDjF3U2ci85b5MdDGqnTZsmWaabx76bHF2Kgt9KkeQrWQuBrmrmpaDMHc55BoX6JNuwAt/4shvtbdiReqxLf38wDm0BqHL2QVyISI/lCDKC/Gs5IDu59gfZumEjkPQwUa4ByLcSqE/nGAjRyq1nRZvHs+OD7l7WP3kKfPjihQNBSVdUXpbnIT/RhW2tpp2Qma2nwb/9fu2vaH9L+4fa/6z9K+2PtP9I3KTjmIEHG7HnItIPj75i9NFAdpZNNhoC25Hv7u3G8H52LWwDoc5EdvFUXA9PSCZ/tkEM2cUR/kAU/gC/oTF6A7YL/BW852GTLfkXOF5FdVyTi9vtdXfEdmSoP+rKvxnIP8kDAjeX7mR68zUB8CJw8JXJmzi3JQ+t/IY8bAjMXwdy2k15TrNp89UIQ55gfDnYboJewA/niDB1MmcRWF+4iADnwPVz5rHNZbgmWlsy8AIBTEJ5LK+NQWO/yAwXbEOhk4bDvxLsLTI81Bkfq1DToF/ShR5UDZns+xJ8KY+wXXLECDF+WefU9iQ84NcT40cXL+6vwgIvnNqPGVhGFUqw0ZFpVD3dbDMwNqhtglMr/hAB0E0iIaBoQrwOjvDaygNMp0J/cGnZB2cUD40hHyErG64je+3ZTsVgK63LjAFU9ywuMX6UCP0hrpv8IaY/HM2ZR+bwb6rzRrWqw0WLBqvX75d9pO+v1hivcNZZO6Pjbc6srDJ+3xyQWXDCqw2dMDPUqddpqHYqQcuh5oZh80bjXnDC+X1BDUiEjYCX5nsMqw96c/OM/2R19bQcLbBwatGjVAicRey3ZRfU+FigXwWjawcB3GEMvO25WtzQ5V+zaliNmZE7S7iEsg114e5Or9uLsLH9Hli3kcCyC2QV0DzILNgqC9tjncM4JhqLwEQ3lndattskYMZyUT22wIhlR9XG0s7y3AoTLjE4UKPh6ZQFpr3S3FiZX1ibt31Tp/HeUR57YCFUvY3mykazvjBX8aoVzGC7SzGt2YEr4sqc9D3J6GzgLvxGMSd6sTDaawDvFmyGNjYzUixdVR0LB9hhLIq3ojjqY0X3FgkZLPjCSh3EmusYllldkoVH8OOv1G31plVdcivkGOWvGLplWbZOsZbW0tmL2RRxg+PbnOgWk2KY5mB7z7uFDnsxyevb8nqfhOqSZSIvOU8ODz43xXLDcbGlLrfMYCn0lxu2fGnIl7eAXqRTS15DLfE5Dk8ZweeG5slYKNqAZ7Sh9pT2vPZF7RXtZ7Vf1v577Te039H+b+3/I6Cn6nhIPEYBiFPCDSGTOmghIJN1e3hcvCelG8qlAWrRAR72iYHDonjNCAF7PCV9nu50sVZuD49Hb8rOgvHWJnZQBklFsXnFbk99jK+lpQSk2xu9Y0QgCjcIPPHx21THUvWc7nVjmVySbyC9e8DiFH/DnbrGYEvCgC+UERbv4fubeCmN9uSYtfQ16aVts15k9ajOrKhhE6cOYtJ2wVGTT+1GZM368LjpgOcCEsqE9XA+J6pRqOthVBU4NpKA75R8EjjPGW4QUB2UrAnLZtnzwmfADoRWA5cx9qsGE74YXbNa/HQdNbxZrc7r+ny1+tuMCwHqWqdB4BrC7zI3qIJfxbmum7bF/zFjwsx9fjfzK/Al6UUd1dmVRIdHc+xD3TFFCowpnBsKUbDbENGnFRHgIySCWB8DrgfAzWWw3SjC9kDx0y+j1krpewVoovOMKMEYRf/m2OftIkkvq5a3SX7zhOzdjHVN92pPah9M5GlS16MM+FAZ8X0Upw0Q/9010e2p5p97O9j4TuVsQQqIaHsgO8GpPnBGI5biQbVNjGLVRwhkb6PdSH+OZk/v9wJ30Q281Y1V3/cFr1jx6mpsVYx707dBwvuGMXp/E+gaOM7496inN6lueAb8cLj6B4MTAWhG+AqTi/TNmBsfgfdBFOH77Dx+V+Cofj3aO2DhnZY0+aj2We0HtZ/WfkH2XMQNCUJvTzV0bWD/QA9lneyaiBsYlU3YiKRSiuQ0bLR6ekYoZM9hPLYPhDtH5GZtr+H+jFGMwK4/IxswCjmpbldKAdydgwhFwXHZnhAbW4quFCH97WWq4hq9lK7/p2dUQFJ6hmlg01gwJLylwKwYHrzj2LWGBTZNuIJ5X6tRs8FKOAM8hdaE2pkfZj4mtkBnVyo2GD1Lhm8yUalUuC4EZfdIHmQCdDFj5/GJ7fjqI93wQ7BnMCnnOzbynmWfVYtzA+yW1oJp6iDZ0bIGea+b5kILFCnVOah0m6uPSCg/4za8x/UHQFyDDcMc10KD5ohAC8aqYHdC5j/DmOeDQAcOYfqcHLln2bB7Krb1GeB9QtQnOmPPEwoSA3YC0U3H5J1kiRMb/iSZ146A94+9QWI5EuOMHPe8mRzTD0V/sIceGRBc9oeQK5ZOyVENGZD0KOu3LWJSF+stXwSV5TrmvzIdXuM0DoY+3NK/FETPgU34PcJwzD/V9X0waBZ1nNywrZtvVZ3Kdb9es8XLpuuag92g6fgOmIy8ArLC+SndhOvhchz3sK1nuvsYwD+H/VAHsAP9xIEFkAbK7QANgH2be9jpzAj/0TCIJYD/xA+JS00SBZcQslcM8T0VQ1wynbeaAUBR969XnKofAQSUVjjJ9Tg4kdDr7LugV94RugVSvYrjgdR0mQOo9KtpcKII6/3vAtZZ8/huAXbw6nDgX37u3gE43MjGBKZ/leKTrjVG/top0GGKmZzh0lXwnwHFT4UhoZbyRHYs7SetsYg+AjTBRPFD/G0E+RLA/tAZZoKC8hzP4oFbsz2TnWFvIZi+gh44JGgiuAD1hzqUcU9nllNbj6uGDo4I7ehWFgtEuJvatnZRTgmfClaviEm2LnG6XIq7e7l1+tdlgH6riFW2LBW5Vi64eP8EVu7RdJF+rByBv5BDFVHfw+V6Wdi2+B+StcqtC/LZELAbbTuE2CftwU6ySohY2FZ7U+7GJRT2MdpcUwbG2On29HHbAoeNoH/xRYnZ98stC3v3YTn5JdQNcDLzE2H+QO3hZrA7SGCv4dZexx1N6Q9MjJpRz7Uivx2V/Y/H8MrkTIobLhp2ppLoStyK8GcL0suWADbPV7ipkBgBmwggKyE27JIVA+EdwXUc9PJS2jN0L+7vyS68uGNVNCABDed9qGiaAioUY7DWA3fHjSyvcsUNTAsgW6i+Xl0ASE2rftNgV6K65+9grRV3aWC/bgfU5fzbbpWQiu0HrssC69laHNeetQImXQ6wLy4I9qzt+/azTGhZXxihhcAhGxPwptNW0qZqElbsrJbEAvMQBu6bOBeEp5D97ZsyaJTBcx2ved1gGxKU4VUUN6n/qf2h9hZ2rlVzI7C7qjzMs4tp975MlfzbnyMWtet1E1T6/aDAzXrdptZbG2A4/DW0Zi0LLdu/BobEyKe1tH+JUal0juuSOncc/XdDwxga7vd/v3vvgHmo5kT93ro8l6h0Vk37FtBjS/Y9UzQIVfOfZCTszjn0W9DhQv2K6brReJnXic7ZZz7DuE7uJ+SDYJlzOXRsyMFC/ww++8w3CK0zvmewOqj8AdHJLpY66APAy6b7uqx5YPcyI9OhJ5OeLRj5V+tS6EUkB7eFhZ5KYOpGwQ0/6srwYhBh8z3HvIGeSTcKVBu7jvwk8uGNbke2EhLO00GUyMSTsgfc42ry8yCrnR+1BFIEGeVM5GwdeVJfWtJobSYg4lLKuFo7zPW0O4PJzhzI2IM1LdV/umJhqs02KvdF/gt+FEQ4R14qHEYdB58EDY6lgswGL8Ex5Wf/QvbZ7BjsaSQzPNTXvJpl1bwXheeYrmD/myRGFFj4+RUOgpgHIOPBy3fxc/cs48DGpOpapjNUXTq/nYTyDeOLTzvhUuiM4sMnZXwYe5B+n/b5kuh1WU+DXq59sOruuptRUc366alOG3CJ3IXZfKBwFJ2UvQ2T0X3b0cUEWcAoQVevVIQFVq5zxo9yhDEdIBW8xiM0YYBvOQ5lUo3bGEcMIr9+wzZfAJUpjDSFYdxUaD94ngnXdDzxj6LgjxVpho4aJQSEPOvihy4mL4CegaTsFTmZMwgJcGHnrbeA84r8jF5L1r3xO2emMfrXb5lxNkeEVNvj1hjlrYxkWT2H4pEntQ9Nzq/6Lm6jnUSj9fcz1u/cMvqvObD09o0/HzVh/uhBRNCNCSKgfHkrs6vQb29o69o5PGdVz7CXuO+p1g9RsmxRllwZjcCJEpYfZX321FVGGqsHFVJ1U9ubfxAcxcQSdwP+6/IXhtHlm2+Q3JXAqCfUVSbPjHcMauM13yh8q5/7Engnj1t9hFsG0mgwZW7FZUGHxKInWmQS4dWMNOfShnN7sDPhtoEr1cfjCbQGwsTJ68xIhlniu6TF1HVEfmqQJs/IIBkg/yl7PXky+vLsm40sHhyAbRXn+6v6OIwVm9bejkfNFw12Uzf0Rwi4iVw8qhMpUbq6/tT7dE7qhPOPP6XryX5X39We/m2DELl8sLtznkx8c/1R2qWPln//UhMePlx5L7zd1Og7f/7On5NNsqld1h6Ge22oHBNofhx5GMkXUm3DbVuYf5Ev9s7LOTERtljsyhddNTFwb0PC1xNp5OLv63GsUzbncjcG+SrsilGxLHiwhW5YsWO4c4ym1xjO1GsW45WVjZUVMjf9r2/pDr+K37axohnvvP3O2wD6hnZd+yHtx7SvaT+r/U0ZJ5Z1NeizKNxp8gzTu0gCpAwGeiJFLJo82yCeyl1hoQ5aOooqNHmGQSa8CGmGQdquIiNNnskBHnFbBnEH8Pci7hntUPaIjQci/ir1fUqJsGwddputE6rLk/0VajBGKZi0lsA3BKWMGbSCnwmdEt2uGky3LUHod/wN157YbZw6vkjp4vFTjd2zBAgRBH7/JCWt//w3P/AbfuRyhUZHj80djWjl8p0gsytHjh6pXLpPbimaW+u/OuJ1uQyS2T2aPGsliyhZwEg5v0WTZ+cSFpCLGKXb4BxNnmHCIN0SdC/dExs0eYbpBdgfuYqK//q/gGWtN0/Mz5/YPj4/f/y/iIW82TyxfaI5fxwg0tg7f/bOn5FT5JTmgofxtPYP0cfwkuo/PFukRM1ad/DdkV6bZGz3l+750p1eur/lbr5RXahWF9bw4UxzrQk/9/OlJU50T3B/yTWBDqYB7mcAv5huuks+F55ODnFNH2xXHWjrBwJecl1nxHBNQxjwY7oGYbrO4QtE4AOdb+Ha/z0BFx5uryLAzR99V/BNXkO+Y9jKr4U9Lt55R9oZba0KVtQceMctbRW8dK2eRDpG0d1Bpyfag/YyHWyC0xz34kH7Np3/Etf3Kf0R3aavAH96a36j/lfrxubm5/y1Z9effnZAlhkbUqF/nbE3qKGzkyf39+s/8RP1kyfrX4J/ie4+QU5qu9gvpJ4O3U4tHREpH700CLlBMc04EBuS486Rb0lDQ5aK3GFWW/WxaSzNI2Z8cqt67nJlo2vPw/+kKQtbpH2ycyHorIQ6drRfQisA/6yrt7dOhnbt3CN1uL5nzZ9U8Gp/AvC6cgpzcV+doy06C9wbWVrmk3PHto8v6OHRphrGjbeTT+Z6EWk21tbxovW1xrB5vEnj9a0TS7SbTOVmmwB2l84fy+Wu57VlnEQ2ST+sUQc6UaQTAKsOrW2AcZfMXzONBwLT72xutCv26sap+gM/GK6FBO6/FoZrRMgiHGmqX36gfmpj1a60NzY7vhk8OAzhmoa8cAQHruNT2tVRDEH2bh2gtPFJLFPJg/YtrvDOoJc21lYJ+BiR2BvgoG5Vk8TW1lwM/bm+s7Sy5Jzbmc0F9VbVrLoY43NXgY5XTeo1Wwtmxe6dJG35V6suxgFd361U3HMHcUi40glq+AfUXVuT0FRaC1VSqdQ35u18v2fsZa0lQ7P2kpLssIGuVzwY5QMtK6w2vdpy/1x/ueY1q2FNzWiyrCheXTyy2NppwQ88WY2jF1ZxMNNqcRZMV9vEeRpyIpocEpVoTTH7xqN5Uf+mMlePovpcJZAK5ZlJgIIwXAGnTcH18vxyM46by/MrW8ebzeNbf7sM0Jej5Qh+6im8FGu4tLeAV+pY9TYYbRu19nhk2VCjrULpmsp+foMtOfQKVAW+FWJhC3ZI6qmqlr1oWF89uhbpwXID16ezyVjDYTpmwOy5i3M25st05jQMZvLYq9lmZeGehYpp17yYGTcbaw1aW+kdielHpVeqH/8qw8ltFL8ABKkJYljOeTN0gj3DwSB2QGRb4LaaDhjOLK2nTPAytUXpHaSDOcR3BcUbiuYf/A4wJc1kCtl3A+M0RnVSW9GOaTvaGe1iMm80lA9bjbSdeXtVNWE8Q2D/9mXGOGwsk/6uyh6HambarkDa9MP9xd7CQm+RdLPi4C5pDIK5gDw9IPDrWuBeeckNrv15Y2Ghgf9z5ph10yE2PjJuyZgRB1R0LqNHr7jBa68F7iuvJT0GEOaj8vQ4zvcYJhPTS+AeDflJve5y+IVskdHfFYUZNQU8ZOB6EpUb17rXas9cYcbLT3NWwKdjOq8g8K/Ip5NILWIB9f4Nzqwbr6g6JjKKB53StE4PsycxWOECHlAJkEEvREt9DUt1dvGlwKwLplz2dkj3Og+MhTXh2rq+JnyLOtUK15eFYJWgQoUJBunak4aBV33F+IXrBlxLddsVq7pRCVxiBWL5EeYHlhN4+mN6zVp7nxFwuOwrRlCE7X6lNbEmLY72bicGsrwuWT6O5EBB5HecRihLJfa2Y+D9MwSrGtWeiELRiAYq2InF3PObLc6bnskocGdgMmZ5tk3N5SD0YSvgIQ2nUuvVKjbwLyfUj4KWDbqjtTF/9BI5cfTS+urpYzZhcgyaxT2OzbBhY4IvJHSv1ourhgnGExbfmAzMKNOoxr2ap1v1dcaIffz0CsCQizm6eLK0aBdEslIMDCkcKqmKxmJ8GTb653Tc4CgIjDa210OLOwJJoMS1/KU0eK5s/adY01vwCRewRQVzHGYSjLea3lqTxd6ywXXGqc5DzmumqtVl3DX8Crd0UJV7Dw43dcQ7rQ9/JKjbPmxxU1eWIR5FMX0PaLGyvuyZNp7HAIejYTsWBTUoLBcDPIZBOQvveehMffGOh/Pxakd2CdjTvog5kXPoWUhnAhOVkazRUi6+gMVPspsGKqI8vQbS3UC+7Eo6AFnkfAp83u1tbZBd4OpeF74qyY2q701iXlhxh07jN+bAyHVMhzJibdkCflFdN+F/2rO4wIyWznVB9Nsyyv68x2tGyH1ODGqbSzq1KLOoyRsCqABI8+aaY5imjckcHY+qo4D08YSqwT2qz+32e3/XpZagOIHdpruEA9uYKE8plnlscCos+DsmyL/J6P/NOVM36hzu6buEeXaFObplUAbLILCNrLexv8ixzI8aYI/Zhm4btmnCNZS4eq2TjwPjnLxHxrmvESn6YLeFbltVvA1kqSJKCCOXK8RMJggGpKpMyEYJVQ2R474PcYJdsSxmwxNWW6rf+cDtHsE+ibqlw7bxqAVwWqDtiA/CyrR5Qwfvpm5QQUxT5DlvhWFJIqEWuLBk7pdWO8bJI74bMBZRfZ0Lwdd1GsF+5sDSAeEGrRs1TrjNgPCFOL+L0e8C1pLnpK+K6TQsEAL0VSknyp5kG4IIaogtA34nxpHackoJIyPtqTmy0oQmOSK8BOvjuLqs2AFA68zGlpWga0M3qpgmxy4TNkgfIMey75h4Wg7HksNb8BjqHCk0v3nmto0FrDvNKLLpGo6hA3cCybCaCOjnwl4mtBK51RrHoae6bYtKxbAdUsXxHzrqecsF+9NgQHvgu7rQW3sdz+sMzu6CV5fGkV2tpjXBSzgCu3NDnki6Q7tbdid7UvuA9hHteU3bHYVYZKcDkLX99p4crwsyuG2IgaH03E5PNGL5DHQdUmhX2prtaIAPy0RebPRCWafVx1fyg7gXxf1uL5IXhxnSrzQCzk7eAXgYR6I5wtdteo+xX9s3/itju7ZtfJbxoLFugPRtR7CvNqn92pGoDVdv4t/NwdWb5BS11zmJBW9HR3DrBI3cYv2ysWTbvmeZ3srFphyCPLe5ORdfmIs3/3/u3gVIkuu6DsyXLzNf/iozq7Iys6q6+lNdXVUz/Z3u6urqBubbADEAGl9yQIIgpkmCpAYkRXKGIkASFH8erSjahLQkzZZWWhm0GCthYiVbkkO2bIzEpSw4YumNwa68YdEbDttDO+RdctcfcewQ6QC4976Xv6qu/gxmIMcu0JOVmZWV7777fvfed++5S2F10zLGtf6ibjjuVDeqVMMzzhQ83O5r44blh9XKLP7mnQVvytHbpgnPIkvzfPWlGujMHWkh5upZ6SFYA56EPok4+Z8cxdcQQ+nhLGQ8g67g7DRnLU+6i8zFhU9wV2OY84GFnMfRWoS/ge4c8Py7/TCKOcxfG/JvYx6vDTBZoeXoBPTUim/JhLlORO9j67X5dRa9l2iVaqkWaeQZqnjlqKSZim35MGKXaFT4efiBrZhL+IZgwStEFBgO9z1GIhWfq8D4xp8N8hyGAbFMHyRP9eGJMZVNdFZrtcXFWk07Xa9oi4tapX6Pwca1DbKk+ybVSgv18c4EWzFLMMX5Rzb4G3T83fgS3FfHJt5p4mOmPq3r+LN4D+jHr5ExsgiSncPzyUktbp9iEeuwCbnf6aGpAn0TiYVWtu7x48WNT8mOr8996EOf2vii7js/rZXL2sR631y9ZBZkdeHb7/vMpdVHVbmQyi0dkBcxXgmjR9iyiB2NMT+YwI2PltHjcRln1h5p0igsdSc4N47WV8uz9oQ3vuibxuKdge3Jj/6O605vlIsiRqvsz1l2c318rOnqkXOHlOBgod+WDjVagLX0lEBA76eGOyiRKxbxDl8UpHv1mQIdJdpHVEbnS5jSWTeWZ3vYv8TplnCCfR532aJi8V+rig9S0quoFLwKuq+pqBf8Ogqyi2OdMQInlzY1ZVHRtrZ4cM6OcB0+It7CDQVLPJiHGyq+r56tt+vwt+TjsX7Bx7s+HnM2g3mQHo7CkOoWG0Gjn+2vihz1sEZ10MAjJIIIUwr5pPra/35VjZX8u6hOl++mTCPylmzQ5TN9jMJ67d/655REdT/2ZoUe26YoMl1Q6PIj3CVkoPx6Un6LWzmHCg1XeJEkpISeGyruIVnnpT1I+ctzxbyL7lXHIQsIzx4Wx+ugDyX6Whyyjt9LjB3K8lsoLxzkOF5HdZ86cgPvUKEnycF1/HO4f2GgmHdSksofCzyWbSm1/mDsKO9tQ/kTe8OJey19m4FmdF63rvDj0GEwSjT9ZoslZ1KCUYU0UBg/VpKlzW8Wuz4oZRhp2zmAqmhod//S9vaL58+fvzqSOj8lA5j2I6Kd34KnR5K5EX9u8/yXgs6adCPm1SnpYZ7DfoiWfnvg+hQZ+p7t/3xv+H2+xbgWCprkNujz/BwO5Dx8cH8d3Xpp5CNm7onr8dejDxv7fovVttO60xS1ADNyPcxzcl2QPg584CggibPBoOtOcp18j+mUB117xDXmROjySGSOXsD/DecYG27rrdb6KLq3BZfyHBPnfvtn2u2rrcvw4WcM4p2CX1xvtS6nb/qJ9OytI+4tgBq/IcKht9Oy2xkNUmqzYNBnQmkcZI2WNI/+iD3hRzfsQRcIz7l+0D0hNwNcG6CSHeFZ59k30HhwgzvR4Ry+6W9tnd+Mz7kbXdHesYpF6+uacmZrm3+zhUkH+LNncPfeSG3O+T78ER6FOZwr9WZ6cqc5+HynqQ09r/0l9vybHBwi5rad9oChs/XkpeZwV+IvIvET+46fUsr3bPy8BaTMC9IHgfs/BePnU9AGl6WvSt+Q/g60xIFjKdxnbA27zWlhv5t/PjfW4F861gbH3Qky7LE21JqHHIe7RuSeXIzH5g4fmvEITVtiY9RQJazdvp6W8b7sXT+Rtt7f2fU1Fpt9v4ipe7fx0F4XI/la1gEuZsS18qM6yYUsYsBDnnm4FWfEThAYRvnHwui+U0Z4iGSQox4Wj3CEbcEGQgPk0EjPxvBWSQxqvChtwYzgxY++Cje2zm8lg37g4czfKj/ud69bB61Tw6PTs9exaDjsHHT6avyZP2yPuBfnGR81P+2mV/S/qMuBzdrNaPf3LEBn6fj7XfVxSNZ/QRPY9Xv8PpffM1ffepI4WdkcuEkSnIPv7X4Wvhp4OMVEyHizyVMaxy8xB2/Hj389u5uAOAw+m7ub9dOa9ArXR2ow88zz3Vr0gHo7j7Qv8xzo6Ul0+DugMCUnEc/6mH8GB5gL40V8nNZN04Mr8XFaRFXp4kNcEVOPP88M/HKH4wxZ63juwgePfTrclUmyy5QX0tVYN9vFC18QDhpZcsIhBuI74oSNeubAO5cFDRuCwI3XeUUwAtPF0NGYpcArwUWyB1NNwVPTPD3wy7xuscDxWKSWsG8IW0cnQw7v5g1c29WTVfjLWQqmT57c2dzM/FnF+9DnWeqn5jzQd9WB1+cQF3OoJ6Q6XNJoJJVpKHHn5MkB/QgxQnZ7WOfKyUBA1vmrBxKeJy/MbLFCB5Hy2JDDUmhrcPHtXePv/T3+Rv7uPCLHdVFEO0sxnM+9K+wUbVLnfFvjDjpMYxiInm7ynCARd+pZXSJrsGK8hPt7pblyNSxTWgGtDhTYCv1VUPHGZfl/rE1R9VWqEWqrzKzKVVmHB+B7xf4NUBDr8OyveZSX++MfkzmoL+J/xLgajCvOuTAmEckEGjVrLsrsBX/Mj8wC0WRtTLHZJ5hDa0zG0DFLMVyHUscpfKfr+L7zXoUWrTts44jGdG3RdrpeVTU1ouuUpHWOy/aD7hpGcOAGCg8CzAzbcpv7J/FA3RdIoeBCCa6hWBhPJLMaddizukOjJVXxQn0ciCNWl1AdlDhTrXpdx17UdF1feMgIHJmNP+dgImea1vuk9BPo8eBnPtZ9AQWbXkyiwVl438c7ILjvgVRxEzNPwx1zThgd5D0YF30W80ipsqVjogtVNhliiKoMA9CIWqPqsxpUA1HE5AXVInob6jKuh56iLkXU0Z8dxegOaNfaM9xuQ3CnhzuhjBOqqVWONWTrXdNYVNTFhylT6IKial/W9DO8dZ4bZ7ITGA8tAHeGWqctSXkenZHeL33gdfCI8CjFU8l3q2vR4XrYgYz6hErHEDRa8VVd43w6qEMekk8KdNU7YP1Vivj9zyWs2qcjt/kYepUUSYfnlRcek3zbK8JtzjYGlmPIBm5LcP+NOcSB4buJTIgfHMojCv8KCQswWGVFJpoxVma2JoMgQCmRFYVqsunbm55lGsTQzILtumZYgoe1sYIHTxjMK9WqhDK5UCwyqrASMMewObhn0VIQQwXf61lbtke1sl7UivHcWYb5egOt3H1NeC/ww4m4DhyB5k6eT6yMxmz8xzdxgXSmLRH+6TfTCsXymKhQxGOh+P5f1MXdYXznEpqqENiPz3L9FWDNrxdCIkMFWSk0PeLaBVMzQNy2vE3bN9HrDPO2UEJMjdqsPGaYFjy7sGkb+BizPVVj6lio2xQ37lSF2C58yoZZgaoSxdA03DTUoAtpjBE88ZxJYIAeqNCqWxbozAqm66OKVTRURQe2KQor6gp1i+ihKZPZOWbIpERlfEqV0WLHiF4xy7o/rWoYlL0wr+oEcQGJpoLYosnwEhl6rQtFMsWM59kymeVWLeElibvIrL/GWZXxlW+T85mvgxt6cWsgThBn365OQjXz4E5CLEf0kmIReomMPqpFlyp6kanUsE2W9hKVKoRwplA14L0kWWOLZEn0E78tem7cfUU9OEzKnURA2GCTx50eHURxp3cNO5bfHF2nPg+dBSZoor9EK3x/PRLBcxFuY0YrwJ3D9hNooV39xNRvup+QOeoVprCjlKHLWA9YHjAZbg91FBhpFPhakBklc7PQUV77d0lHgcMDUBirGnFPgZ7Gewp2FSDGNDTGewp8eNhTqCXF/lXAV/QHW+UyjYjkwtkXPtsgFXAnbRn5LaOkEG8bdEBSQUiX3g6IHn5jsVEK7500PdmXtYJv/rbpFzQ498xJdCq4HwG6SDV0222EkGiDYLJVsD5nljFpXtn8nFUQ0dv8GK8FE9w3aka6O14LkKpkSt9FFAhf8ZIAkwc0YmI+6nfj+0DlVnAvkDmKxmWgbhJmKuIVfrvgQUegkxiRw+kFSgXNg/SWhFsfDObPF3y/8HnoyuJO0oel/0d6DdZ79HIqcxpOYUBdbxVzj63gMfYGaooTF+rElXSWfCY/6nRZ81eRHDNSNcs3K5ZVNjCKZhYaFO6WbU0rmpGlqb7JH5utz5qzp2DZAXK6qmoulTHrhKIcm6NwRzlmKtqSqapLCn/grmNJfCW3M1ekBlrle0PSJ8/JgKES6UkHH4g6fIWBaSQVQ5c45Jt6VAALnDKt66bZVAr6V/SCcgnRtnwUg2OIxPjjrKKcZrrOcnI9i/eyMik7AG7FoYqohK+sdboiZHERIbETGTxxUuwmJ1wSf9r2hOuaZ5fsIuHnF4hn85CyPxUUNwRsHId0dcP1oo2BZRhOxj83OOEbIqxMHFNcPsb1u8Q6n3hHdhJtbECSD0Bfi91Xcd7V2r3YfXV1rdvjNk3e+idJZk0btK7FCI0VgQa1HjP+Qr5Wpay2FzjI5/VY+r+YgUJeE3UwxdtUbJM9ap36yllfS36sZXsoLKfVbuVbK40TTaqyTxvtvoOaEG85v5RqUiV/d2sdHbj64k7cem3eWiTIzgda7nJ6BsftNgqgelqfRFc/y/cZPjiqRTPVO/3qEPUWjouJc+MgfCNCIaKeOti6bUFkPKTUkfzwY/DGVMPDs/Wdwfb9OcGfgqjx1T141M6a+q9xmye/vovzJ2tvMUcsS3dIdyXx6GFm89rVkp1hLXn0CP3u7rZd2eP+5Rzh6/mWFPUaMVAH2hftfEeA/jPSo9IT6AvUElCLu5E0kzrtMrT0k8aL04Xvwt7c9YuRKJsvCvLaorFfOfCJS3Hj4KGUY8KS4IsiPv77nHurn3FkKUbmjAFf4rkL5nzs7x2pi+tsP53cBd3o8pTwBRUN7LUgPAUdJiZ/nJDY0PwUDHbhG3xR0BbjFWBR+7cdhX6XKh1Z+4q2mk1N2/FSYMSQswWckeq2+RiuC4+Z9lNnCTmrXhTVZ8KOEdtjpFdELGfcCjHkBgYk5XFbRZgv/F4HPU3V/wSLgnP9eylI6zVLP6GB/AxLpkJ07SSzWln/iW01UJYFZS3x0pKo+Wbcx/vdSJQcb3401UaARhUO8bGUot5+D+ugOqr+j3QckXwfmOfhKfyjAhR4RRTa4rs8xFFVB8TODWaVNtRCIee7y6Avz4porSH4BXQgJ4OzC/d/rc5X4+5jTqCPvhX3pur8DfwKCzRNfXsSZKjJ7uQ2XkC58HUV4/v+S2z7ctA3weeB4Ji+hqFYHU0L7EPEqFl2eJTenbEX005twRsrF88+eU/Jr7hLT7tjJpUNX5dpaWXeLxytijgXEpQ8WmwdOdJylWLp2xb3fiNyUasuLU/yMJis3hzHxB9VbyxTXAtzTuzxgoJXc19W1P0j1FBLeKukGvSIVUxYQ6rVOcEb3JcXoQqX/Dqms7BUxbP5Nz48A6SJ+Cjpm1w372oTRLgoOySCLsC9JIc/Yxib7sBn/zNvVgpjxbLvl4tjBeXNTaqrNLCmOdaMxa8mJxEGq2lxFJppK8Cry1bITGu8bplaBE8hPE3uODGJMDfNIDvG9C6ArhVxPXFC5hBDcTBIp31SDnfcI7PTZUIcb6q5utqc8hxCytOzR4jvWazaqdTGJ6dmpqdnpibHa5VOlQlb749fg/cuwnsL3NIXxPEkHR5CmL2cO5Ikhe4sTo45NvqAHp33CqvTUJQMesWRIx6l3pEjDZ/IQMT0X7wyNVWvVyLfK5dV7wfTzcmpOpZsGI6iOIaBNNWnJpuCjh8hTjKM2hIfsdz5TXiyTHM4SWiFPjesYdgRqITNziJ3EO6gT2iz3nrssdaSRscmiKqpZHKMqncGTOuerlBaOd3VWNBr8m/G67JFm73L6/CfdvfTCLz64Kziz840OoGiBJ3GzOzjFO6+/26Y2FYx1/wPga4u0NWQ5ng8AXKGaUE5aiJBgjGcIFAYBNe6PK0rNE0/T2I8B51C9XWFI98lOB47BW/+qMmMsmOa3eMhpeHxrmk6ZYMhf5+rTq2uTlU799zzsVwNEDhZ2VTp2CS/OTFGtU28dfwvHE8tl91iOWxPjTfksqKU5cb4VDssF11shq/NzMw0lxYXfyurJaYwmn0Qr5++G9eDwX5RFQhJvNbCmT86VB/hlQKN1nbGJhcP2WE47Z4fVer1qalDdx5BK6iWIC9MwOhgEUtI5BGpcClMC0Djb8zUW/Xl6YkilOzUW53FZr0+vTQ57haoN9nqkMbC1vr2VGNiol6tdMYcuTC7tf7WRmNifOxYu2qrkhKPw2UYL3XQe05xzETR9LykfoebstZiPnDecHMG8I1FCJCIMKfQ/u2Yn79+dno8Ck6OIWGW31BpZax4pOEyVpt4yHHuqFdgFJfWa4YOlBo6pdUqTLd+ZdmEabnoTyyvzHWalchykfCJ48u6cWbaUCtHqpNTneOWubDQmZmKAhfWaqhJPWD68l2wZkZaWCkG1bGpbL1UoY8XeJYUyUdwakE8DDkMM0kumBh8/AqH45NGzZdtZ2KiYJNy7YssNDWjUtWZGW66sw0il6OVlagsk8YsaRrF8WIZ/oOPOV0pOx7855SVn3THw9p4A/4br4XjnJQYw3ZRKiMt3CAcppZjtAR9RVEuKaRO6ENU+YwCRzhXyJwsr8vKp1X6XkV5L1U/rcjYN7J3Vfd4W9TtL5GRr3zmjvtq7x/x3n91/pnu4LvH9no32/vtdu2+j41+v/PMeV5CHl8Z5330XxSmYbH1I6TezguKCa+H0X8pOSFHKb1LNtTPqYZ8V3aax0SmSHMrYMX+Hm8l7JKx68X/9HN3Ec0b/fLs3ao0zt/d6Z0ie7/94sWR77/rc3ftUUBON1iA2fiE9KB0XvqQ9GnpeelXY302tjgJET+1jHQTmRfhj3p8/w9bhqEaxzowZKMe6w4qCtGguLK2y0Ng6Pnh74d/fwmlWS6YCM2eu4+so1RbL5kl/BMf78G4HHnokJ3/iYm2yPSmOFfSm2QehCJL37L0y7olYor56RZoISC4B6ZnWp4VBHCA02CLv4PwN7cwKobyw2xa4ttzD8zG31K5ktGDzZHlHSlybRO1tXdLl6SvSr8o/Q/SFem3pN9ByWKY49Ggu9IuH4xoSLfbrZ3u44OU90nJYZ5hypNEtFzjWaB5JuhuT3ibBXiO2VrQ0eaFgXb5YMpwJ8f49OZ3RrSak12sc7fWuAMIV1J0iGq3N0oXfeHetLXVWr+2fm1kE8mEjmiBuF22smJGtuG/55Jy0imS7nBjff36dU7OtdKly/hfGtNck9alh1KPv9j5PNmSmiApdGgKGdqPx3QMZodmMP5chOM9+b4dq1R+LVTgv7Dmp6k+crfUxaCoWzLVqWzpxYAj9+haqXoU7fgObmQcrZaE1jV401dV35/SFddweHiO4Sr6FO7oZnHUNakP6/WD0jtQE9uD9v3r3OyA3NeF7sb4l4EQMk7Fwb6T4j1Lw1UaWfEr7Fm2hVVUFFU3bafk2KYOKj9W3x9RuxFVRj7c8N1CwfU/IaqrqIpGVXLnnUTFPLoKZ8hwu/ZzCHKr6Y4LsiE20gpJNWnEmA0wqfYTdvF2Tb5/Xe1aH9Gse9RRK+1u1tJAnR6/HX01/lV3iCU3Uzus2M8kJ6+r58a1Kw1c5vrwPAklWzoi3YU54buDCYiSzZa47WJUQGxPEQ+Yx2BNvUc7EQf35gr390oTpdJEc7JYnBwDOkVIB1DrI86C/6jqqZ9GOIRPfxpBGeb5Irb+eOVoRS48ZRfjHzYnStvJ74QFGt70sqry33ya/37+JN6vGI+TaHap7NkPp/sIoTQLI/RcLOcIgoOssyKN/eEKRAPeQ/vhGn8jqUDBS/HZtnN12c6qsKnElc7YQLy4EvZ7YsCzZ7fz1flGxrzyUPV9jOLO2q/Gs0ndPVDL/ZolGmjmNa5zxRaJcK3/jf2b5eWMrGVMRSKHJpoTXLWgpDXao1k+k/HjHOZuoS0LYXcdVdZyez+ize7lOsNkJnBF6Om3RGKDY4pWxxE/+vvX6ItQozlejXler+0Ulq/I4UD+xf5VmuPpXk7O85ptPxtD1b2HI3l8dd8q7WqjU6+vjTo5a+Phm4cDLG5gr7uJhtkSdvOB9kCfvbuGM6jlDaCHb6jvjSLvMwe0zy7qXt6/UfKYgXPc1ywR4xLRLs903h7Jd89ptI0kPUA1WuUkLcMCcxGWvi2q1TfxK24UuazQquDiiixfojyrWWqTxnJbfD994N0IWDGKAtbr8133+PJX4wLPKSosFY+lhLxw4cIZ4ZobpUUqW1uD1HzzmaeffgZI1ZT7h+f4Geh9iLidhpfCDBdlcPw9NPiPc1tYmd38/F6huszB+RF21aZMox/Yv6Ne5g3Kf/1hWR7nE+Eq9zte5Y34Lw6Y4ofmi4dvcr44BBNuYtrYXfuDJg7vgOpned+SueO0dN+hZw911xqWoIFGyZ7lAfMIYQOLV27z6KDJ5PjAuiWQlBR1S6CNDfRJbLe7EeP+JlruEDU7qN3I1H5V26/RHj2gavH4b/I2ax3QWilgzOiWuFS0X4RmGM3siw+j9/3DcUzzIi9vRXpO+pm9eCl6fZvvz0Qc9FITPQVvRp3bg+7HwrgFusNNwKvwx0ZJY1Q1LMtQ5ffZxUtvt4ozRDZNAgeVqqZCCUVtA/QXxIGAC35bJsTEgyWekTFfuabwgyyLZyzHLmJMsrWrBTnbiioMyZIhu75DTRMYd/FxYpVfV0FkF8EP8GjoqJj4sYr2mJU+Kv30zc1JMYp7gosaJriIJIFC1RJQRJJAo7QTRESSAJ6u9SMRGrESHjiB/ZPXU90R7XNUMIAcNHwqt4fh2locgZ7kk2jGc+Tq/r2/k2xWd3qdAXP0yN76Xy5d9PgIvGjUyrLtTE46tlyuje5gwcV4RLo5k3QqQyF9BWmZ518YKLi/Syvp9HapI+k80d8ZoCTMaR9IZyGbPESi1+0rOWK2c8pG0h7xbHL6WewUz26nc/MC5+cRkBfuPWAO45PJuIAK7yfG0lwQE7oQJjrw6Gnu7ZVx2TAv2MVXvJD7LWyhshu6mMR4r5VGnonUktkCdquh62eRcr4bltDzwedBczStC3rCnru5sTho+OvE0VvxSpOtOmvtg8bYb8c12tJNsqFbIB6EkwiDTnZPVUOj5R1ZMOMG1EqsNujOIc70GPufY0yL/j8Pa8BNaBhtR476LDwpY9pSGYFr1g4QCv6l06hQ46HThelIeafdnK4aZnW6UdP1g2SCwKCVhtM9bSrR9HTBMKrT8Fs4NkSfi+ugSpbQNFojSLsJJYMoe9HZPqC13r8Xnb91kMYxUtYetKcMDHYcIHHrvPGydibvfDjOiQWypoqiJiqrf3iQpH2rsvbBTOi8obL2V/ev/wg9/eHXaUvZJzvR4fV2lc/TAihUoI8KlNGb0OLfMfRjuSBwT3e35VtuqS33rO1NtOd+1T1kq+5Z3Uweb2I2od1WwBHrbSom9L6xzwq7vc3X2AEj3vC6ur3NV1buTyD2+Cdhfju+mw7E+URI7GhUSwSDTfAFIOoD2P2pZ5uEGVRR3+vDvWmE49Gm4292bI9yXaeqaR/AE/oeu6iqD1DLcdT3MlWdFpydxsFABe1UDAaa0loHnXMr7h9cAuVe6TxvZUKOQITZn+RTORnmQ0CprVBTsc9xvGAgEx2afm3PCnz8MU3ZwYTjmmYrJoXfPYuZMbAXUOT143tX5clzQrCR8n7lPsg1q5jXidu2U8K5pJKZZ7opwdzO1W1wO9f1Hd0qBd4OelX/w5Kl73AXS7jkgQsipe4NS19aQu/FpSXdeg6zbeJ1EHhLLeESmWLRoW0KKVmbkPlUmOLtTsh9bVGOoUMnRKDLopyF91bWFmswDhrrm+uNUuNoMHQ9E04h7u5/seX60hiS1FhvwF/QHjPVAr8H3IrvdWrmu1xE3A0z7JB5icB8qEsmj629ABQu9zdI0AuWg+VmtzcAGLgmEkPDSk06CKXIEDoPIfJAH+YBXsugPkYanHHAPPSFw0Ad9F1ZRveftX6wxgO4lkGF/BohJAu8farZsuzAKzUDMukqgVOe97TZjSqNnIZbDonNZmrTbcsqiyc8teyW54pDT+zgBg/5xRyMYFG1JopR26T13kTYdGq6TYxi0XDbEwoopi3fmV8s4DOlqG0o9bXxoOlWDUs2S57utSdJ/NDCgpTHFNR5prDUPZxDQqGyFoiec4JcHkN417GHZU2+Z4Vq9G4B+/OqgMt6F6GPr8pEfjMX9s5lc/QCxyWYxplrOCIjS1bFS8LU8f2k/0BfEnEB7vXE//9sUvKCXnALOihPN/D7q9w72EdXz80ZoOCeBhweYgVdLzAYR3k6MEYZ87EJ8wsPERrePQ+QvoQcl2+HX0qK24qjn0M3R8yypb8MJUF5UNi9MTlwgKH1XErO/BWQdJWUDl2aADrO5LyVMyflte4AQowmoM4EdXxrvx/DV01yr41zwmbwh6H3Erpch54oX7eueCGzrP9Tt5aByJV7gNxpS7+MGq4HNcGHYMzHH6+AsuJd5nNBG47zlEzfAxpt6wKXz+N5X7oB8w76QkLPAJri4b6GeUabPJIG3apZAq652j+v0I1zVPMqnkbPbVDl54zCRwvGm2Qme+afmR58XlfO4uTp2Yp6FpO9vo0qd8DUbt2h8CajuXKbsMqPLDlq8qTczShe7g5DyX3naG26Rs9pGv0zqv3j/enaxnnvGFVVujNEIU1ziiNfcOfqkJwJhFNF+thK/tuD2UaVp+Pvn1bU9Dap0nsTqu+lCL5ElTsxKeGdCrfEI8aRorGEftS7cvQ3+Q7je0fX4TA83rdOk0nEf1+86WYbZHSNy+JxTfx4sP7ni0FQXI5bbX9O2Mdwu/oYju3EXl0jkRRCm/akd2OmPp8F6XoRIw1M42QFYzVc4egdeANudydyCjZbzcD/o7VIhB7gME8Vbwz0FCD//YFfvr1YrXMQh3q1KBf0ynikF2Qq1+6oIyDq2PExWY5aigZjWasQgivhGcsjvk88i2/uyDLMyIrrKjBdv8Af9FTCThDFdm1dh4NyUtdlFWTWR2R0i0G4Y5nQBwgIL8gckGBMVYHV2MFAAgf9YFXfHxvzKVERcBXOxnPPpjZjGKnflSLMptEXPYcb83hGDRSggBv9vK17XVM+ewTFqHVMiwwC1JHPKtrvCiM2SEtHqUXhK0yBDCLSUfVhjrPIDzj2XkXfVunfwFza4DEEERNLV4SAyY7Ms7PAonxS5r6ufYEk2fng5KQ3OzExe+dEoTUzZhhjM63CRO68JL72vjnTcifmJlpNh9+Hb50mP+dPOssz+K2byWSIizqOmJmD2jLTVvoM8TOFmfMUSTMfZDLCHSXZVYni6WXVIYhlUBVwJNmC/9uPm5hTrXoGG4rVEnQWJVd2FXiA/sj5vEFsgBQeHwxN0UUnaw0ISpb60ZAhd8xirC9x1LLuKUR15bJAVMmhj/g5CmFUEqqcqaJUa35uCDNF+n2QWUtcvkioiDAHkmBMQsff3ZAtkPV9NmYGmqwYiimPuWUX/v4BM2Torm+dIkTXoFM4L8LIDVxXGswJOMURJ4dljF31TnZYsnjP3xiuKxEtIHIWcvCRvzZQwQ+lADlZG2BM1jFpA731Bxwcd0VWufIeDTEywOqde7RDHirFz4BZfnqPhhDtcEX6vuShv+/evWEXL+Ly9mjhhP+etCm9lWNeYP5BjEYQjmEYTZPmOgmjML7LIxdENsb+Wj+JH+1xvOp25iIapA6qrJd5r8ZhMN1tVSn7ul4KcFZwHVXhmRfh4Lh4EpRGfVfwFHUboTTZFgpB3v1bKNW5D2xxtjOqWapqYUYhWXkEavoIaHZwNXRTAaWuZ+n3c9UJXuPDx/1cTIU35+RNlAtWRZb2w1RoYHa8uheRl0Qk4bW9yt8C/Y0rcThPZjkrqtKdIKM8Kp3ncUdKeUJZOamsLioYWxZNUIRTcChfx2gHNPSTSjcF1GUD6lKcghWbbGf26ERky7IdTRw9l53OFgqzvhe4iNNPdDfwym8u5y6nJ84jTpVpPh7MBMHMLMZOBYVKAf6C8XEyP/w6cTomXuWfG3zzW/ilXDVxRJpBeWZ2phw0Z5vBWKFSqxTGZ8dzc0SVe0ffVMbf/gCiIKoD++QAhgb4Grd1H5AOeIdD6YG0ve2GKUZqjMl0SnoL6KufysWlZn69mbPKAOXdAaoTmwCLIRDi0YdgXN1o8B4fgVHsL5C/dyFJlyTwhDnm2nOJZuOb+lWsy1Xd9EPcBjB4Iic+wPa5ui5y/uJrLwt/v2vx5OqX4onMYr7vhttm8mOMplznuVIN4TODFyB5GGlQo5ryDm1Sj4AE+wmO0Ba7PyTJvGL7zhvNNpBaQrTltkBqaVGN0VB94ha5dk1VzvLQuLYst3kQ3VmYwG6ZcXvwbZQ9H7j0/0G+bY/i2613uIxvJmjwyZqHljZc0tr9N5pTly6ayuysapKNW+QPqV5WNVqtUk3dufVhmONLEbSm+2CVuYQ+a92gvwYjL+XPG86eUkNVp3zBo/VbZNHO5Y/6lPofTRj1K28YnwYnKpi53mg+/S+yvCHrtM7H2jLVv3yLrPr7XE0Tu1LhCr14y5zScnxCHIt3gB5+mXse5DVKEFRiJ79Jku7cvNG8+zWqw4wC84quYQxzMHj52C1y8o9oNgvC6xgduv7QrXdClvIWpdMz0vukT0rPS38zXTd59sIQR2yQAPZzZi8SYXRMYrrKiLfYDrIQg+k3fHzDQmFBLU34UyyoqLigssKopa6qSbr43KF961IL4spZFCYBC4Gy8Ka4o6myzmR+6wKXyaFXCuvFP7+N64wNWuXd0uOYr6b/l8nqC9xbWKMgAC7d6kQqNJZfvq3zJ+7rnZOeRv+0/n7xDX8JXXIo4+Ytyy4vD7xNx/dfuA2801Pe6aAJoYfA26QPSp+Vvprb92ERLtiZt9Z/xbH+vIHAvEax2qTU42PZccfzo7sdH251iP+Zpuu2rjeLTZkYs5yFtv3I7R7Ref7bu/gv4JNim1Wey3tfvNH83844PGpivX1T7AVFAKnNKjEeFud4fPX47dQR89q1kLTQCJZ3sBQyxRvM2Z+CBT0IFIsqIQc/CQIOixLSW5VY/z6FtyjUUtI3xm9/9la5qKQ8xJ2iLUSJ899gLt0qMxK86lsas1m916T7pW3po1m9mwmu4BB4VDONrx64x/ao9i72JAiBaSjqtLa94/K93R3OjB1uSEJm4N6tuLD88M79OGOmp1g5ZM1LXuDxnWxLfwnfgQbkK8BkZJMbXjSSZ+E9GwMcW4qZhYyL94bnyaIUAIcQDx7zB8TY9z2UGCdIhB43OZCDJYS3LItsljDgeky76hUKXjgVuAXXVSrjPrmqKZ/SS/qnFI1+/ClZ/ojrfkSWn/o4JawQ0HcSHVcGnbwTni3JofsLU5ohn1SUk7KhTVHS9Y8QSpYYW4KPI36XpO3IpBvp3DsoTR1yzm1jmBL0Fx62lKJujTjbFLPX8eSDT2nxhzRAT0GqxVbidr7UzuEIukS0hCLt/kORxFMdHEDTrfJoPzJulkfNeG9laQBJM7GJHhqNQnzPnZqu4eGiAMrCfXLxgYcr6c082H0rRs5aj9OocLSAHT4f8Zkpk0vztD6c4H9nO0G9A5AZhvHyh7N3vMphCZLByqtxOSN+KzvdyU732CdKKhQfLqcHXin0+cD91ab0zyUf86jhviLCOXUxyyD+33RIJ9lI26y2WG1p3vqr9brv+yXfr+pTbbGDdm7q2KxTDvkX8F8xWBK7Salvx5/BesKjpzBnJLx/LVHvl+I0ceLQaSIiG+LETQiA7Xj5Tg+dJt+AT8TYyeWlwqfQHsGR+9GpEg/8TDELS8uTW8GUFh1pG6C9eVS4WvLH5IJT+rQms7oncmjsVI8W/AgTAKC1BB9J/pHILxx9dOzojF30VS/3leurbnFd1D/JmyldH5E76gXpb0vflF6R/qX076UfE3c//yixjAwjewzjqqbZW/b+fl+kkF1IIgf9fuj7g35/E+/HbZdOtkN7I8MW+XYK4BENoHoQsvv2U3k0mPhsEw91DliSPaimCCLd7AeNUTdX8UX851MZvggHILnA4UhQaPHO4yh7e1pmM1dQckLpATdbGdF5+JL0pQ9l36vpTXrAzUdG3JRxfRS5thYG+um7pIvS56UvS39T+h3pW9L/Bt/9R0JIkTQkqXXAHjcT+swggOPhZ7oTJBp8Qa8zmPas02ve5Nw5/P0hrvOLx67vh3M6xhpc4iTcG7mZX9rVG+FsO2vddty14OBnd8+TXFvl+kIr64DXste1hx7Y7+56Wl4OoKeVdOULMr2WJXP042697YbPJBA7srwk57rs7kPrsE8u7WLLXmcy2XXzTP7BpLx4TZa+S2qwgk1JM9IRaT5ek7tc7sbMmNxWJHywighuxVOKpf/OKdpFIQLzD+di/B+pgmzMJeTXfpiJ14Qp6g9afstvl9qx78uPf0x0vvfO44OF1xzP/BCbqbg3WT8qc2hAN8bLWeHwOcsdAc63hrcCzHWg8RzmvVX8OnynrG1rdF0GQubmQSqfnwN65HOKUrYUCnOhalY2K6YK0yJVrDImzY6ckqkXxu4dK+hmyYlA02lr2mVFJ4QRocrDCdGV98A3VJPxJUShuk4VTJwja5SAyK0ws2DpGtZe062CyRSixr6+aV0nRTzGHrU9BYpAH30Jb1edw4UnFpbfXLgNNVcY++g/u/naJzmVmGTiPMpl1IbIS9cQs8GS7RHNs68tkXmee46wov3CC7b3xzn/ZPy9IZW5tJXkChAS4+C7XlU0tEkPvvCGpnzpS4rm518btwn6fnSkEzyfsthjisMdEq+TRuqcEu+usE42Y6MLJ/rvOKTZxaRlwltF+DJyJfhXxc6Pj8IVx24TqWAvorTlU/pH3Buca9XnxMd2/uIcfk25+58MT9tfyeIgvwKylA9S2b08qyCiCQu1E4GkRUrBLA9vXD+/nUv/lKCYC+d1rkpzfKa11U5O7kHsf0Q3X8T6aSg7BU0nH/x5G+qHoIP7V7Cl5yrYImkNs75VAj1xIsZSTFRndHnEyooUVzhUvqIoz6vq8/zYbKZn79YcjbiyvEUtuiU+NkrZeamriNzJsS5fkiKO29gWzMwXgttrrNOPfpm/uN9PisCzL3/yk59MShkfz17Pz+87c/p05tMtyphExOs9S4mwnLAPVyNL2+p+8pPdTUVR9it1o3bmTK0pyz4vPRlnSZ7EXdpkb0iqiYbylbVTO1LiF+hdy9qTsEwlLGVxAOuxgUbkNM3HRHAaDvIWHNYRR8oV10Ruz0NSkaehim0wnJetEyRI03JScmpMg/J44md2VaQDzUIwXrme2ekGeM3L2K3bJK5wcop3mIr721fw3VcFZ/coQbrFMl54Gst47gK+78KeZSS56TG/HXo2H5NOS/djHHY/b8bLnydIcYjYzXJf9IeZXNzFZJ7c/Pzg4UJ2YaY3X8gag6dyZRucYVduCGFlXXxsxlsYc2JeuZp22h+89qMMtT4fMzVcx5zHWd77jOXNPVHeLW24AYq7GmDzJuqYNNV1kc2W5xt/cUQdtV1VdG8MVjFXR5FrsQcazj0olfUzZL+VtWDPxhsapUGyLsc6bJKT9sauug3U6bm0CWCgaha7Ad3bh6aLnd5XBxvsetbKPpqumbX+km5dg8H+Uq5f7qpPrm2CPRtq2JKA9Wtw7E+uwGAKR6zq+v71+WQ6A8G0AxyHCrG2D+2Ur5A2VB9s1l31yftRV6VxjDMamQ8YaS76xWYxsxsMJP5Vlc1tnt8bTgZT/d7AnG6YpeC1H8W+sRlmLuaXjqDMOZ6J+GGeSzrJ5YxpoNGS3YxG5XcevgfP9fFePk8uPLedwicQU7+yHatUMGLbOFWLDM8vcfFCyBjVnR2fz9eY7hk+WtvbJYslv7veauUBI9ptnyeIFm9KfGdE3/ClmtTguUKGIhMcwjprfbZIOv0w6rN2p88hPTCuMRoRpPBr5kwU1KxPRDNmz6r9EvwLopmfr1k9uL8aNRqLjUYWDfCUeOqJ+DcBf4zxn5i/g48uNqRUtrFIVwp4BEcbNwu4ToANjnnPUDdKunAzDSeabrfJ0tY9bauuyS6qBLJL1WKJrMdbkgo11FXVoIqiXm2f8CfueqCmaQ34Y6o3G76gJJsXiqHG/c4jxyRHCqH913AE9aM8ARy9QWOj6OgIpCGM/W8rX5dpSsq3Xgju2Jhznb+xm6QVDAC+jt6OV13363JM1UMvBI47t7FxIU/df8LgmOvo+ROvdUgn4ggjWqkWYCY5KL3Lg3v5IUryQ/JBLg6ga3Gd6hSJREXgYxE+hKwvNIJZlZQ8zkxO7CDB4gaViw/Yil50FKdQOrY0U7BLDif5jpMgCXMir9P/w/WiWReZjfEqaT10vJSLdZN589GZQtG2Z44dKxXCDWRRmVLODTgM9Illnncs1yeanPvDTQBTljiI5jqF/ZtjznY5uvwiGegre1YvabiL40uhHeiK/WaobGCHS/ketLtScettT/XWy7qBQPTl9d6UJIn8hRJoX9CrJB93mXmiT4crwE1M7HaS/BMqk+lTmqrsUE3LTskcaJsfttQXZFBE4xNhS4jfN73nGxm/1edXe7z9r/RUTa5+kB9HlfSCrr7lo/AvrcN/hjKjFEl2uNT+0yp9ALjXOKup9DKHaZw+Ce8mLaroynst9UUqK/Bupsb2kPh9M3u+8dRALfZ4/anZUwgh+PgZVSWN3WV99Uu6eu8luJfiz83DPLgkHQepBjMyivScIi0jJh5Yg64j4w4Ea2J2Oz6hR8srQB7O3mLhEReoJY4T6HjJHZAUxAoq4gTY8uBvuXaZnuCEOuXWwkrocwMDtZsbMG+6dWrBFSGzVHaITC1ZPkHIJOiHJoWjTE7IZJZHgeMTBFQbfiDzjfVGZ8YLiq6jK7JWMExZnV4dh7v/7So8sglFwHv7cCbLm3Cjc5RQOO0clTeJ7Igi44csasrESuKEXiMYDY5zYYyLwdNSujh9JK6X7T6qyVGfQz4IV/sw4LgZ7PFqsbHkNQ1dKdrwXkfV2LQ1GVouFfdc09HSW/zZ36kWFxvetFkbCzVLoQ7IBk0rnLRce8nAew51yj78Am45dqGGD6dzRU16Warz6OBk3/yk3GlON0ORFJTbKtb6044cddurWRCmxjgKcPPj85gZcd2peIrqUlk1S+Y6T0o1rt3Jb5bjWyHcMfjDLzeWGoVwrGCUi2YIldAHLuBLKcOgWgB5xgd5ps/lGbS1oNUR4dZ7fRCy+mh5EFN3bxWmq25snWzzwKnlXjNkQcEgklEoGD+G4/mF0HZIIXIc60lZtg3bWhiPPEvXFqApI71Q0F97DY/1L3zhlwtlxykXfvkBBhKb59770MSkrpq+fvoUkpb417J4rxexap849H5vJ3VYRo/Q/tpKtPeNxKV5W1Wu4Ey7xyEUW3UmlaEDoE/tHteIiYHXcYquhwc+JnCXTpZNXGJpSB8afcmRREIqeQMytECnfBC4cEH6mPR56eelX5FelH5P+iPplVQWFbUfYBL7y/wm8RC75bdlrl1bqnIVT6/y09zdKxyNffjuK3j6yvDdHXx253B3R5cWZ7vYozTSVPLp4aYH8C4bN/MddzQ7xA+xa/z/q3+I2fDQ/SNp/htZg9zImnTwbtKkg3eTYO3D3B1d2nZsUD24uP8qHSTGRUz9ZYb8s/e8OKcpL2F94dDKatPO7o6c27I5m8Tl3Se9S3r60HM2Ewlw0RntpHDoDRCvQRMebNwC3mkuC8XPJcvdoNnri+f7zd4y6/W7B8zgJ2FWVVQFsWhM5JJVNC2FqUShmgW3FMXyZ0qYfcGz4b+RdfwlXVEppUxnpkYIU5luaDK8SnmcGbrJFNvUS9ge9EhHF/bU4XXsPuknpV84/Dq2FmdaxOREuFkF6xViwIJEg+Cw8EU/ui2PHMC6VaITShRTkakBn0SDlQr+NII5yEGoNRU4ux2PjOT6OMiZCkOYDUsBMZJS5LlF4QZTzrzO77BZjFg+e43LQFPSvLQOUsYD0pPQb3dFtwbNoDvQatEexsddNkboqcGIl7VxMIlkA6V2xmpjRAvcyHIKm6VS7nevIpqXyg+GbwhunRCGx634I/4aDv5S/umsb0L9Rd9cgvqfOfx4Tdyrol0nB/SmdcaD8/WBj5Et7wgcg62BDzGvAdXfHzmv7U3xUjaZjTpscesmFJ3/SO1A0g2eK31iRKb0wcZNs6BzLz44YI5zDJO/uIXC+VbspgCHdL8lfffigW8fdijcVdrnUivdnuX6sdMEHGId5Sj0gk3o+aJ07vUbccQwkTROW+LJsjqsNx1DVQc4B2tpjjzc/eaxWUh3p7eCoMoOgXXY9GuOZRtFqoEiTBy/0bBBeaLykkpM9ahjNxq+Q4iqarQIuoJT80319FH4GqYHHZ0YnmILBd8yHLtmFKrj4WTB84pa6PQLhUBuKCB5T/SdUCt6XmEyHK8WjJrtGJZfWGBPKepvTMAzlGmiimk9Ub8WnGXIYa5jszinX5LlTODQ4hzJK7jGK7kSRggZhNWPODo3d9KIUyuGDKH7FnnK+TRrGk+2yBHaMG8rYlq+gOAUI3gCI1Vn00GJEFiAYH0xTN9mZBrZQI8fV02iNpjtm4bOqAoyACkF08wgiIAzgoU8hc1erHO4zOLoDi1abqU8FtrMKlgFR1fvrMjALHlujgJjoztV3YH7FrPDsXLFtYoUfiN+O5rjyXzaJm3JkkKpIS1IGzzjDfoTYvYi0YNhwY4EfCUmb20KnHOOcZnPYpSdd5l4xCERy72jnwWBo4Wzz4auf1fgxT+G+lgF7ZTvQy2rggGgBWQPSkvKt/AwzX1jFEumVXxkSfywSWkBFqeK+JjCrGA6fVZc/Sh9AU8UW8GfYRFVLOys+L34O6OAesiLX0yLOgFvKFB4M/+YAtXRkeVnxVUOr4dKDJFQWrBUdPBfknm3yeeFKGiS6tbWS1tb29ykfTGcCsmlrfX19cvcKH50ZwdH+44k5TFgShJir86nmX0T935ERYz2LAgBeLZgitlqHn/nriJJtXl8Zn2dGynW4cFru0nI58GuSTPSCugpYn3lWZu6cULhOMfbSSLyP/HNq2Yvm++WSHmapz+e5mTDrHaxEWFmY5GZrdy8xy5cbkTK6jbPAaTQX1AUkNRgyfes643o0qWo4cPTl3Af4hKc+Na4hzfPlfiSSOe5kyUmi87sI9z/fVI6KrINRzlv0H5zWozzvvDfWCRsNQ55anaOLbfR0iYIDYDsK6seVXhuou11QTK6aZSb7yzY740al08ndCrK8x7l5DzGScV9F6R1yxu3oAofjgnEzMIJvts8t1dO4o4UEOaSzjSan4NiGWazaKULE1evg7lPOm0W9XCKCxiZZ8qTT8ryeWBQcnLNMHVZfhuTZZhYmjDQfd8nKn3th+mp/gNZ/gEhxMMD+YGMOVVj/51K7MEmEW4+csl0s8M07rJ2iqx0o/4a6wRRt99zSY8F5CgMl/Oy/OSTUHx88v6trdLW1sUtMkuV135IVV6mphAWn7bcH7jw929+4P4g54/kQq37I/bVRcoZsfeBLhs4L3DsUaChG3R7TbaMXT3bwf2OogU4A7R5sDQGJan/HRlzxkg5mpqKytd5R0agvcsI24DjOQ/b0DpxYuviffddlDI8G8b9J5alk7gXsqc3apwhkcUmqMwmNYC0A5rRAN0jXSzeARPI5ARGVbVlBJWIE9Z/OavFDSuJzIkBVQlHWf0YjTNdixqdiCFVQBq6uJXVS/7xazznwiLM7VVu3xeApByfVICHgxjwzMz8/MyRB5eWHnyo+cjdHXn2LD9i5vG733x3yazDsa76yX04loV8Be/G2IQNvqsv5Ine8ir3tltud5rcSQ+zN4u1ViTv6+CdJl9eV3vLKK6AIrg6zSeu6dg/LUF6Cv6kPqcouFlZ0NSJu8jdE7DeGhojxC4enWm4jqlrhBlmoVA0nJKsWeHc3ZNzU3OT1aCCkHSVoHpWGfeCqaJdDz1TkwuEFNDHzi2Fq3dMzmIudXRZrsoygf+pC0swuuV1H6jUZ2frlQceqtZLhUKpXs18bEB+LYLM1xF4n81pYeGH2VAeSI6WQtJeidpRcbJSiDqRBx/nrXLk27Yfla22YRvwtxN1QrsyWYw/QgQvmsdDOD47e8fsbH4tQKzREozaI1x6TnpbrwNaN3C404td0LoR95EUm1k3vIoHf/76VvnUsR1EGHJP67pKLMPUDLn6Km5kX8PDt2rax2QtmvooCV18jEwZwPYlScry7WDmlhWYVe/h2ZLyaP/tTpQUmHgAJtkac8s/3xyBEZwjFShd7nZiIvtbekxXU0FCK9HCkdlGkqpw6kjrqPnI8St8i7rEJkw9I16ZYl0kd5PTjjkxrFIuLqhaNAz6iDbVeQjTf4JQttHHKlnpeoGZmDdAz39QelR6THq7dF56t/S+vD4p3Btze/RDIv2gHzkI1EOzGwtgVdzjH4//eauuMpgDmKp/Ci9fXVfiqKqnkjOiPS7uIHLSi/66v+Fv+euldfgnZgkNtWVNzBXZhJCdGelFvT3wX2bzSDDnjsZ2yV3+Ers81JNoC5p4Iu3tK+LZbQR3bNteNof7mUONn9c4LyKZF6HS3N2C/+5c7CgOTSzcEnzhrCDSW2pnxYck5f2rhD8cSrSPIEbZnt4fe2W1fV21qytJWOTm66roUmaCvHzTdV7geF9z3HfnAejJu6Pb2vEOqTbduZX61pHeHTx0ZFlxFFnWiUK+ehM1ns9YtohSFkzs7z50fRM/G4FvhhLFGZiVHsdROyqeTxiqYVzeztpzL6Dr61zBwoH5h7B6uGhqJIr8H14fI1rCAmTcND+MgT4vrGJvlp6U3i89e+h+L5gUdTIe3dqAGHCh4vCB3+OTl2DXt1nGrj+/1YFSF7YnmQnGvesm+1HCN/TVehNov8i3g7l22xi1E48lzii+HTKpZ4Pqr98qc6ZvkivZXBJwDNhV7h30jjjfwa6VjwWNEzKvJjqMi9qqjSRVRGfPeg9c/AKIwtP3pq6MZ59AV8Z7mVava+wsOjbGvpc/EMgv4pCF/6YMOErpdOhdwUpe8cLt9XWso1qvo/P7Nq/11wdqm1SaxXENteE691EbSRE2ky7Q6TXGZU45YroLXrQaKUh13hrS2/NisM7uvaPqzL57YJ1hCDWDrMobG6V2UuX2ee5ePrrKsQy/wHXRZREtm+BwdvhmAzQeeqsxkekOBaC1JKUdajzakbvP3X3kyN2zYaDSCc0iSlh9el6mGj0ma3JTL6v5i185utlub75ls60RuUAZq6lKuX/8HgrTwIws1zRFz53ncNonuHeahOIkWh0Q6XURM244MuLxcPcGkH5B5+ByOMfXRCe6JQ4SwB/iIvovuwUPpOxorOoAo6ogXYaF6nh0JDKKhrfANDuwvDEXxpatM/dDZtmZLHhoZnOrzrfLpj1z511te6x2tDM2brXOnGipqnnaMv3S+LHxYkm3jeojctFfCsp6qVhdGM/sz+j/vD4kr/MzDn2a5sxySIpoG4MMLcr45bbwbIQRWm4eaZah3cJOZSPe7lSVjUon1G6gHWcbD3VVQWsJ2kn4nkHlaE1uixWlLdeOVnh25ESed8gS0LYIksJxbtsps86aoCdgK/1IG01QTHs/QA9Gwjo8D0cn6nduqC6BcrajkhNUhyjUgfoHPqTNHBmrn3NrEz97vXB9x3NcpnMytwuOO0ymqMiVJz/sh2zqG+eabs39PfjVMO3HpftFlvWbpB1tZ1pSBQ2/vYmKlMKJyOOVcYySZ5Rurkb+faCgBK7HK+ZQ2YTu52f1y/YWcA1/Uxy3dcjeAmrnYvxUEHtji4lrc7/+8xmRFqUtPG5/9+A+VOdmCL6QrMc9Dw6JDoHziRXLZGfR75l7TDo84itgXZErHWoRImp/PmsGm24isQlQzhAeLW6uNAM0qPxmKVDGZqphofTIcqG0qjESNOdb/5PuFh3Dr5VmCWF0WtXHy//ucypj6uc0xi7cVfP+hI7PRHK15BdeKDlP6eqjQSus/kPDMeCvUCp9sxQ8ggrqPUH9bzHts/AjPBwrFO65Z9AeizZeC6QFycfdRfjH4s8vfelLX0/+yPwXvvAF/ytf+QqXzeO8QbhfVJRqUhNWl3WQMUC/jJ2i43056JtDd8phhzt4oS+j0K/b6IXa4TsbmAIAk20hwDU3sjanUcNu8jQy3S2BFoCwDlPQXr+euwyCVyhm5dFIHWSxfwXLZp2ElT+p/DqUV2aWz4xAbxua7sK/uq6ZzFZkWmegnpYtX2zo+ZgaZzIcvPoPCoNFCv7bUezLl9cN0zRMg9iM2Si0MFWhTFNMk+ub6fye58nr58jrqO3ha5LMmdIrQPF4tusaaxpdjcXhfScJWr9SJISE8uQkNQuldy5bRdeyS2giptscMaBkWy5mQFCFzwj/UEWCJENcob5wzfYsQ0a3BU2TDYvfWI9jGcVgjYW6bgw7pOXoX5DWeAbLR1N/WT7e0BrHebqIcBj9URJvQn+w98kF0GNGVipTi01Rnd1/QnzdVbc/zaSeuFaDcF7xVQ6XfAE0/jeBzv8O3kZYA4zcFJGYo69BUi1iDUUaPpal5oD2BEk/Wu6ilNFcQ/C6fhf9QBflV7Ey9Rjeqb7rgtf16wyEPNm2xyerc9256tS4XSCMMaIbofNBJzA27c/YMDVPB2QeqoKttaryf6LleO6suobAEk57s7dYqy32Ntuuq2lly6pXq3Xr8/5YbbYFXb4lEW7br/E2Rmsvgw43QRANH8QmnjFCZJuCSeOSTOQimTnVdhwojoanZ2bvne3NKaZMOoquTE63TrUoocyk9YnZs7PHHipBK0oD+xfj0gluX9ivnEkuNU7EGTucWHBE8Q3dfU8mUmUcfxqLlXE4cX9vGkFQhjneYiGlIbNAs4FLObmUzxBKVGo5suxYVM1f7FO3NfFbnahEz16VXD68+13xBV8bcjxZBHnkAwdxX3QvWAr7mrgbvSFsChodqGq96xvm3L2zP337mVYuntk62QrKMpQ4pb5uDsq5frt407w7bP0PW48sJyEiWi5k0cS4DZdsgHI/tg7DbF6YjjoUiaZRM+JxxdrzlH5Yt9b51sU/UxgxCKWP8T84Zcq9wHyySW0Ey5j7sMXabWY9q8o2PUMUOoWxCYgUoylTsHCNYf9K6RkHbWhjX5o6/WgEXXIftxEjtpu8Lz/zzDN/MILE+5RNSjeV+/Yitb/U72+MIFd3qoRUnYm8bYVKx0BWv1c6J71LelH6fdyX7Q07XZ1Itg6y5BW5NBaRcP+Apl/r9eNzTAuF3WGkR1dunsdPWKXjrYjkE37cjeHw4k+RljmGGYz9eIbhjrbX17dC9xUeIO2GAsMud/zOwBr8stDQBw4XRKiPOFo67mzAw7q1x+3LmtLCe3C4st6Oiw3dNt9v9nliyBL/1hSAbWqG3QbkGERsnrQFWTsHlTZw+2up19qAfVHEhi5Ln5Q+LT0v/QPp2ykmWdxUA9ugezUPuozejhbqBs1oGHHqpvrVENDidwZEir83ogHPHY57ye319efi9tOU7+3Tc8ZN/RWUkl/RTZj+Uvy97LAz2JZXDu47udv19a3MH/HKPt3oFTSRcULyPnQuz7OUOJnEOls6DE+S3np1fmW+yg8XhCx3rTZXrc7VLoqPL8U8IJj0NdNxbamOM2y8cy5013gj9US8lQqKLPfZSDTgRRIjPz/MNVp+2KrGZVfnbyTFwHEnmC6Xp4OL4mM7owY/pBjLhNtoNKnA49EcGXpUP0h8a+Ico89X2tFjpcei9omr1bnVuSqZp2NzFe3CBa0yN/bxR2sLNfgTOiJ/H/IrAI61RvCMu/DwEtpZAev8tfzwWL29Wdpst3d4xf6xePcHxMfvK/MT2rlz2sT8ex7lWW6CZF+acd2yJTL5Ci0w6sDYi7CEOwXnOrgLj85xHYTC6omN+uAFx/EiZpBzb2e2Q6pz1Tbw5wqRNRkNkJRcde2w6INWUHTCtk+oFhWWBTXd1nijqBpU9Wc8Tw5nJsKSrdMPp7oy0oR63TzM+yiFM/TeQ8vFhMwp6nXQz67Netw9YJx0go6IVmJAdayHYH9Azz3QTPjDvctArGlbDklIJQQInFI8q2Raj53B7HLuKrZ7G1rcYLDSa8TSoTaEzBedaM5Uswp8ACl2P/oOqhmuV5360BNO2zfNdzX6grfLekEhxRlfpYZabLhOhvlb5TprIPAhUpTrDO661w06GK+NtK9BzdglTGbaqb8okp2WSi/6hr6j2y+tiwyzocc/3CtXdq5elZkJUoSlF/3UnhJBebaEmZqPYaahtKBevhCXHM6h9joQAuT4hrahO9vXVEXEtePh+V2HmMDfvHoVJCbZIpbR8J8bGUiQjOmE1j2oZFcEK6D4dcPZHvX+rP8gpnhFxJn3U+Ufp5wclM7wRnwWZy4sAHclLjOhdzn1sj0tTF1bAo7x+gAqp0hMrFvXp5YajaWpbG+V8T0iRK7EccYj+ofx4HBcp2aKrD+ktA8vTMP69VYcqg8H/2KM9nhaWIDXhSXjXXFd4NBO0VduZLib6+tXRKX8yhRW4IQwZ7ySbjJ8t5RBd2K1nBg7B/HMFqUVaU26QzopbUr3cMvqm6W3Sk9I23lvLdbNGSJFtSOQ04e2R9B/PvevH/9je3xypV9x4izmN2zvOozdeJvj5ZdeemmL/3e+3d5otTZ2HbkfyMsWqBrxlhheGzplLwurgfZKu7RR8n3/ZwRiKMKJ8v+kfL7SsjQDtX9Yerew1nNP6nHUthyO4t3rL/Jkwhr6LK2hpI33EWhsUl7hJs4Oz/I8ToQTdk6q8EHc4Q7FOL/1MVz0b5M1rTKtEkJk1gzVFflxUMzsANNmBrarkT+iumwSWTFUqIBpKeVi2MA5jKiTFbU9xeBkqt2thip1Awz6LRY0u1zZ+RohynRFe/Q+R1ODOjwffRKGFbWAGQhS6ir2u4ki666qGgp8qxRD505lMmQTJ+6ylGhKI3L06b8uv/Z/w1ehq/wNtVBWEfMuzucs/SdpQpqTpFbZkaE2zdygQ9Nu96Q8IbO8NzCZrxxZmavLbc/2sUng0JbrcytHKi0tAXrXdqqzVRp2qvhAyS4Sz652Qgo3M1/+2PYK5dvSLPTPs2gnzGePw5JHE7ULkyQ/FV7jdu6jKB18VNC1i96lNBTjQpZp7HomeWwKYleG62Bm0pafViTh438GPt6BcxrmEYVO01xts2Y7Q/HpTsj9NL/hcOqJlfAaLH1ydHR5fnyQs7XZhlAVUAHhBiiEtKnMrsyN0eBIFegiRSAPHq90wucR8ix5ip8M8/ms9LbD83nfbBnDkLCH4DvIu8N1+VtpUxyC/0tZvZKTVtYkaVvMwrwXccSwaU0o1AnYBXqmL5ImjHwEUEc7hPZW1ZDPIDCkoX4uO50uTIy5XqG8ENkY/HBJMZO4U37yd5lbm6jpln1kIeYvlqmCHn+UY5tHrNnp9/YqXTCfzy4MwZLF9ux0+5+ePv2506dH0vNWy7bDqlU0/faKQUqTzclicbI5AULIxYuXSrsJfFILa0GBGe2G+RavOVmCX0yUimmsOeMWh8elj4sdWP5/j8uXSRRFj4uUnSjAI/8+aMff91mXoy5O8mAN3J/oBCHPzok/1JgAAuyDwDT8WI9f9vHNzUmZMt0uFP320XJBUZlhu8VyNBa4lio/Ol40FN2wXM+2GaUK0wtErUSlom3BXbtYLJcY09TpqWiS2kXZHR87HtpXyR+oxWIBZkVVY/CUU8AdClWXa5puFJxfp1T4mbp0rFAwLNPFcAnZo75Ttti8o9YKtobuei7RFVU3mfnFNjGYbViGaZkOyG8e9MAxmRm0YFuF9vWzJaJpBtMZBhxqutyXNcWlAWMKi2NcUK9G/QOtfDBUUrAaGC7QGbr/q0LfTOFP+VhyAipI/pKfpLh++K7xDC1z6IV99OnuNB8b/jn96tqDD66hA8XQm//4wZ98cODdk3u++xSI9/z1u99+/kF4zYMjXr+J96EEKbVzMS5fox+21E9w/yMhQq3AZNI+wZMa9HsYDJmQwX2bg1BrdvIz1o4Q9GYFQPhziooZvAlty8rPKHKbenilKRfK8WxSbl4lXOxrbAjh62lV2VBqjRrtKCIfl9KhcAk31ZfK00fjaUwSckRKewDz+0m+vxemkl86dhFxPEmBmsyJfJ+hh4Gd3KFEizA1eIhpsdpxQlt4qI8wWkmuW5hQYwH3jtLEzESJHzb9er1dr1/m2yXeQE0JVryUpDKf+ump5PQSiVMwl8RLisWJM0JD4N4mI2u/tA6MjDxNmZuamoOSoqKqrKdzKsbNlqVGIh1PJsuCxn2DB9ygfFU5q9GnuPIRn7yU+bi+qmjqt3FXCI5pgLTQwTzpNeiHS3z/HzFI8Z04g3D8FXgzzhsI74oTkVbGbzBglkttbXRt2dNe1WVcNZ/WglOs8LMFVkCQjEJ22lBkC6VnS1Z+Njt9mvLQoYfFB11vA0NvGIbnjx8f973kRCPU8WqrNQ/N3+KEkpZGx7n5h6d7is/OIY5ZHttxnttKQoxkbOX9zDtArYAcYcJAFpD5DDLr5cpkWKuGSsFxCvUc7tb0Tm9sbuwBZ8zpp/vaC9yu10T5rp8OHxhK6kBxyQrf7MfF5TJ3k2qu5PWwWgsnK6ui6JHJwKeBht79nAgpn/OcQcs2Yo1vjuyS4FhKw6/wl789jaZ4IS70a/jOX8yUui0sKJMj0WfUgPmlwfXKXTUaDgUexrG8MFC1z2a+efmkCNfTun0007ySABA9o4WRFt9LfhRz3/QxLEILsLvyyEYRynmKhAHjOi9Khp1VjnfMDScdeA5tInwZPon3+hHuIbFmHL7YgzeKNbqND34Mlq2iSzXnJKgSmnnEN5mlvR+1CtO1CPFdxTriG7qlzdoFx1Rlanouhd7tuGUFnmbvICrzWoZCPkKJohVLtmGauub/hQ+roWHrdrl6QoNV1z9iqUTW3k8VyzZlZpqM+i1T94+YoF9oBatcKBc1TX6wWlCoRQvVgMFXyjuIYrQ8psjnVZVQo1SwCdWYn8NawqgLzIWOCF48nqSXAs/hbtBqZ7ndgxGOkRDcLwz32xNjQAfHN/eZSO78X6HpGWbcFY8WXSLLIH0UdP8tNoYiePdaxWJULP4SHAhMcIa4+xENQwvGkk7suno5MDwd9DHtnTAjEnh6XcQy1MUPfhZfEhXzvjHC32FGukt6b86ukcZhdxKzAd5ZxHS53T5MayKoBuezcrQcBmJLTIxKGPp87eCA1itREsSasWdH0PI28fFhQaApKmhdNQ3PDH29oOrIA7eYVG6HqYh7XjBco6AVfHRGleNRfE3UKq4qyuxw/dMxA7bHMLBG04AnhmcEZd11Yzb/pkxUWGmMMQ/B1NFxkSjMSSYH7hPCdfF5kF4aoIEsQnuv5Pxw00SdeQz9U4ghlQgHUa/JaLAhEJMfpDrdpPSh9+Cs+v2ocemLvXPjSGnkvfzBB57i8B7Kex6k8JAuP8g1u0aowEMfEhWqbW0R7/tSHIcsfYc0+YyRj3uJz9MQl/Q88dNCm+85WEyBTQLcDV4MazSa6HHFvgErts/NFdmezRX03r2CX4h7fGEWqRRiG1sN14E+T1iQ6lq8MyQrK9x9WVEJ7gLEvlwX+CYAWvq//32uzXLBBcj4nqLmbMgBjwDGjEuwUjczUxsIJ9nMuxgrfYn72VX0uFniateLQsncSQBZcmEoZB5D8TKn8O0481NrOC8W4/5jEbT+m1K02JO7cpXzvaEQJT4RcoOVL+Pw7jQHF4w54pAs8/h2LFtoiuGFi4LaF22PoMoYeKVxbRK/e5G7YGvj1wZp3M7T7wV+uRi7tcOhWM5wtRc48pXkIwqXC22DuwpMSHRBGa3f0QTX8rorJ+UTaBDCSR2GqzyXeNaupsGFf6CXw7JuFa2yp9vMADVD98pwOfq2hpDg4xjRHKxQppG6rmMawn1+kb/9vly2XU2XcjJ/UfqpURmF+7DiYOzbONYIQ0iDsgOVYE4cCcYdKxe58be3ehIqLiLyGfrY8GbiAN18hzVK3ax5kDhKvn8kEM7T6sgl57B8ELcdc8IsVdygZJqlwK2UBi6HsgufgRXnsHzitwujXppe5uS2vshF9Hp6A0M3N+Ez3F6LElXo5rrECt9P1EGdNXWhMdxkr1iy9DM4Hs7o1kViorKQx8lGG33I87xjsj0+b8T7dtxZrPfGdpHLQnmRFd3UFaxl77b2kW2M5YYSPqEaKvxxNly8zR1FGpw37nqdPSU3H99c/3hbkpD3ZmeLS2KfV8rPE7b04SFklze2/XP5hJ+4rS0f7zF/8LY3dr6t3/I623of2/DNtf3R4STDoGzfXCc4N5xTWBvoD3XpMwdkUn5j+8eIPMpLt7WfjMiqvH7b+0x+LTmNOFc+8mCS3BTfImFzcggP1eeWJQ0De9Aci42DHRDNSx+5qR40KSbgCZD1yxXfCRRKVJVR1TUsVgKB17jJ/vS7fIki5gQzNadSigqWZjOzCF/arimDUJKtO5PS56W/ir1r3wq9sf2LJYveLxpkDxbc3v72VsHvT9h78Oe/ub2d74V4AZQG8Dvq0lFJGo567+fjTbr5i8xE8oxZQADZdRNBZAtbOwlCx1cL5iZ8NXjIYi4EDh9G6Et7l3KQ3Waw7G+NtttcG0WInwKJ7KRb7gN2OY5nNmiX25PMvH3u7w2QlDPQufvzI/PB4zk0U9syy4Pxd3IRZ/nos9HGOFcA+55BQspOzqrnD5I7TFfsI3Y9xnWT+ntaVi8I68MHxMf3PPsiKlIDh1QWkl7m76vt977upUGj6/fyQZLJIcmXNgs8a6HlqLXW5uGa3D/2Thjcodhw451HbG912h0WXy3HUGriB3HHIjqMdL/7DpWRNlHpqgJvOaYZxFRk1qlYeoHqJc34eUrHZmvjhqa4GquETV08cYyQP3MjM9TUP1fUiqbr2klKi7pVitoBU7aJX15QlOJ0q+jq2ilMGIbcSGxHmCe7Kx2X7pHezHNlJ717RFaq7l7uMcL6xe3w4qTXyYmOA+CtPMb9se0sP9X5c1z3TVRe9X/OkmehJSFVsFVZfhqz5cEBY1Uu256fy3YrbmQ5j/9UyQOiJlmzMfulQmnObuZKFW6duEN6axq3gsBFwvNGrG7TWpScdPKWg3zUbSfPNp5nJfMK3ck54MSJs7JoGmE8uJBZEp7nDOLem3VuYrhAqvhrRLaydGOgXj9MEl2Ly2oRuYAv3+Kc8PkeUuwfcDWu6yL3Ehhs2yYTzcZHg7BqDmbOybWmnzXdUj5ghqg/zCqhJE0lX801kqi1OJritxUZ2kORpSwH4kKeTuiNiF+VRtLQFR7gl9K5upaLBF8keTq30xwlF2Ks3DiwZy4j00h7F5lPOIxVe+1HeVK/F9evkhqVsnxO6I+5lFoToyAdGZlMGnWTTJv99Iz7HBAe6vMqvBVae31TQ2S4rS0BZsCB+5a4uYt7i3xf/XaM3YlHbtf68Y8wJxf3M7UkD3d6W9xhKIg6AbRfj02gDAJiTEBY3WncM/fEE9WlJ54oLT00jlfdqcceXqFf+djbPyv7wWffXvSXxY2sz8zHPqylOAuCI4fRKRJgVg6SKyO/C/l8+/i4XX2i9ETVqh/vPBh2Hn7Q63w8m+1Jlc696f76E5/97BP1+980968f+EnZK/3kA473+WzVwKK5zfYIOYLern7/pIDz5xkaY7jaU4RHI2AmhpMkWlt5lSq2rePo1on+LVne0hjxCfk9qtETikWVk3po6AEZx+Gv2zY8FunfIvAI07Zk+fdkIp9ELK+T8GuWxI6I8o8dkgIU7mSetO9wtCiU0W+6d3yT0sNRFcjyN+9wvynrFOOlXotj7A1pCuOseT7BSERqiNm5y6HzYiUJBM7V2GM9f2jybCWYyq7/H4GayTdNUjr/pucURPXR+J9agq5pimuZKIS0qKFtExl33OFxIGbjTc/xiADFwFlWUUpEFmcm/FGZbGsGbeGKI8ZMm/y/xL0LmBzXdR5Yt6pu3Xp1Pbq6qrpnuufRPd0NYAYzAHp6egAQAxAERYpDSaRE6kGZQ1mSTepBGbD1MhiLsqDEsiWsJdqCNrHXlCO/6Fey2thyLDiO/VlSNrFpr9aKmI3WX+jPG6+Ztb1Z8cv32ZbAPefeevVzBqTkkJjqete555577rn3nvOfFtAcotXFJ927iMAPNHNCemB2s3ySFXVUVARDSnRtSFqyXGkHii7rncdl4hJVOaqQ7+H+fthSEx+/y3xje0RXdCVoVxTlZe0PEnldVj15lVsHCdYBX9rGaXSbt6uUt+iNuyL1E4SKNEpK1H086MZdGDPnXO66IAnoXJxy+M9kPhf4+YwHv7haXdVWLwve0jNy404ZcYnR2zlNvHg94/CPws33rF6mCWdr8p0NmaDXMHA18+84glm7BXWFyNXBx0HSPkrlTbj/V+HdmzIlXVm+pGo/i+iUP6upxfmhIxyLUQri5BWDrQQ9M3UcGlx7jMpr8K6X/7hMPzr8alJ5q4pxP/9YUy/lX0h90jh9rUkU0rGPIM3vEd95Al68BjS7459zZfkh/kFFuYqhnENfLdr2FanB10Chp2thPBfHpRW5WjXW6p5AHQb9NEM35oHIYaGFmE0tWzu7IitUZ2YQX4CBC5hUdLe6RJY3lpfvVwO/XG4mZ2+toPf1fEfW9ZJbsV3XrrglXZcvLm/w2y/qZqVdotlp4QYBZOqJjyzS2uTYSoit80Zcv2uf6O0Q4UtfIKx5fJOjz/JSdIcdgndwPbfTbaYFOS0W7mC3xYve62YmWuonAqoYhnY6jMguxIHJMASYKKpeubfCVGVXOI/fuczdlT9s2UzjBQ5epVZYw99WVFbpnuNXlxN36zEOlDVmGTGpwohVuyQ8htvxMmdL9R6V8NvKurlQ07W5RQwsie8XjjW3iJuzfogRjI2vJDHSyYrBOo9fZBouG2DepWzJs4l9XjGy+xvQBmlJpZ9XzZ/F5UmP+LaotE/ZfG3RtwKsk/lvQGP8PFVL9PPKbfx87AWiui4lq5Bl4Wuf9Y84hkRP8lPS/aNZy5KAoiQaKQlBEhqsm1ZZFo4ed7qinqCm4mF5fI6v1HF/u3lceeNGACg5DiEadAp+3BEJQ4U8BFJreVHD0QzHXa1Hlg41m7ygtVDeS58XXovwxitJnSRO3VcMQ2OmAQJBTCandSkV/ec97q3eH4rzFlq6V0RCz2okEeMUu6eTe5vfL1DocJpLVP17nLB2oRY6IqMcy90chOn1lCjupovxRK7Kx8w5XRb3tt7MorM5GVl0/JjLR0p8Qt7lnBbxlcvBPKe0Hnzatz5s+UxfePOCznDdA2m5JCh+fL7yVSzNVyvzG9in/Fuquq5Ki9h3AcjIGWjbD0sX0/GVlgP8VbRWweOfn+8IVPUooTfKR1rLObdFj8jD4SaquFTI6on/Oy/aZSgi7yO5lfkFVUvWLfEkWVDT27bhmT9H/adbUf21IESGQWkia+iPmj2Ddnzxod8RP9n3Ch/bHtUPv5AInpTneWXQX3TQ4mqPrQrSyXo89WZIO9C6Itb19Bv/D1dvdlS/vx7ZqKkfxO8tL8e/n6/RwZ3yL0zT3AU7GNu50D53jbbzrXW0CroCtzraGrzYxn1clhmTIxNXDl1QV62bbdn3qUyVlbaFC5sOlbXPHLBdF9fcQo6hn4WYDPsXYra6pP/B3vNpQeDTuXF/rXNu2YiB468GjsfG8rnrVc7xM7lt/8uHLuwuBJZDXCtY2L1wSCrOAdow6lsdWemZLNtZtT+do1F+flp9izSK9D0HrOcq9xK5faSeu0U3gRdZxRb3fUS9ffJmK3dXDEYPqquL5VnhyBz34qxXWpeIrJ03rj5ONzeEYwB7sWWrpm3PBkptzJJ49mBlvMLLx9/yLlluYMYre5PHWm7aiqbLP3nAImf6Vvj5IoLwy3g01c0UaDA03VqcGMw8qZ4+WLGez+vuvFrMxvP0QcpTzxlboapYB1LprkCSl4bnsNH+uO1FWR9QYm4nZjw4kK3xC1CIt1DXScp6ENPiV6FIJbe8bPMCjtCPenX74Fp1FtFTdOhUiqepzJn0on7oHUg7zCJ1TBdMJXKk6c+kDdv62Ztu6bPonNquR+g9aDMeI7+gq3Ac2gX77Uyx1Y4RRw/cRkdIJNp+bXKYOGV2I1Q5zuF6QvebpXfOpBr6zWiRZwzZwoSoGj/gYYCLiFm2wSeTHNIRcB9idMMPtgTYBs9WCA0B49hF5zy5kP+SmKZMiEUVaqqKLKuajONk2Miyoppw2kIgaxM34h4Y9GkKYkIpGj/gp+XDwhmTTGbN1tj95EV9dysdgGVyPJfw8wjqtEHazxesgN6JGCPQx4JkRaIWFISdIVM6Cda4I7VmV13HdUlg6bvoOb2rW9u6hXNG4RIC8VnX0mF7ai3IpZVKVE4SWFv6HjF1IQqIdCD2dDOR4xe+iRCSsGelWqLdceR4wKIdmedmRnD8rRlSQlRnuaoYrzxXasbqQ3arWTPMWnN5TtcXJ9b22wyluuz0zplq3GyWDKPWhCdgu/yOyc1tgq4Y1rsibQouSSedRoxzBRvkW6or8mb4rsRVzsb066ApUBH/gymaQh3RE7fNbG/xSLGwH0kyxCZFGohkEJOb0e/lpaJcl3ElBtt0X7Ent4zb88K9cewRm78qm3tjyTzVtDmqRPi3Rwdie0Kkp045CVlMdRPaQu/mHjM3ZQl9u/TVfobTz3+bFNhMe+v+b4M+y8e0ulTnWeOHpFUemuEb4CQW7MAxqK+nxMTaUzCI+TwtDGq+qUeebNpzNduS/agogEVR+Kju1hwf/nNqbta/rpN5Pj9yCMYCuF6wlX+OHZguHrDKQ0afob5OtSBgVPcPH4jalmppeskGFUtCTXXNkm2XTFd9xQEKsarKpmsYrjli5xs8cnzAM0vlfUVv4pBxCK1iLGFf3BvzBb+UjB4fHB1W5iNOM0uG0JmwGetJUmH7vWTVVEwjnUT3OFyeTIAWMzwQ0XYRO/y+QukGacwJ609tujfZNZ7h7XEp6uxNao+X9uspk+nf3yhPaFcH6Tfz8X8F6vP0ftqwN9PxL5g2CXBVFavtdS3zq5uqP7eHbuPL9EN2qiGVYcyyxWMEC+E0aYQNkLsqD5WACVgc0aSglmYWIRW8jlBYu6PNKlBU3fLD06Fv6ary3Hi5Rirm50ZaVimpJ53/aNcmFTbVXXMgg8dwzmsYKQXEEAeTOIwQzSXbE5OXXXQRibkzxLrMlQeWHOF6WeuaCCe9KJwZcNWNR0bwWUIDT/5ESdPvuceh+k8QxSw51CrH5+OyRZ2SqZAPCaCXTyGilUWKKJ+mfl23SrTs0OvMUBUaWK5rBVRRDcZ1xohtxmd4ZltnB+gl97XX9uvt9jXgZk97FOfuqjjzPZg22x0ncKwF3d5Ik1ClJlAW80iwwRuJxYH+/SyZyXtDHv8YiHwBNoiV5wE9dpCgv0yce7pJK/Pvae7pYIboPjNPeX8kfBgxMuOVEzKRpR0QA+02lKRgCD2kzyoMkeZ3ZBzdZji4uWPhU5OS8ATplLyqlcmHmEUQpbJVSVRInrPsMndAh+5mVXiirybD4DalBvPmPX/xbWLhz8v9w0TseRP0wDn0kco0wUELlElimuKsyJg0npDtCWX1xn1K98lMRr/OkxhY7CFSaXWXQ/maKOvGlBJ+upDnLMU4otRf9KHUw7ZaFdcfRvVdTn2Hw/WwVr6Aw9tVotYezOiL9KB2dy3QI2w+nNJEd/3DAiV/GDsVEjhxno8txYVC3WtINWlJOi5tJ1j6KU29iSwNW3GSIhFpbCGRCJiEotfq9/rwdz3gq57BEBM727tPMUszyrVWt1bWX7UN3fU2/peqWp7/gfBUEHCp89QfWjqYelHJR8I7HUvvtIP2mL17C/qupusIGH/A0w/myicrwtZgiJVRLPQVYQI//hJT1ferGIXjBluBq2uY2dZ9i6q9M+ErtMXIuyyk9jKMoOE/aKa2Z9q26dl/xZltGgmDn2DQ3Vwr5NvlfK5w1GGph3BKw3aHS7pjgrA1aGVtu8UtR4GyBaM0g6+m4zo5jNJ2M4nwbFtzDnNqDzuajZmqCNEN2xO4NIgqRchFsbT8VOR+1vZD/ykk9yk/JJ79WXeI3gPbSYVUgjEu/W9wxKnNswgZNdVOeresK1HIl8ZCvpQWJftTraUtWY4iHk0X4fAWboVhL75iZG5PzMnff5Pj0Jsdx++n8j978IH9TL3fOdA4P12bFuXna+bjlvwBDMYRS30XxOs6LUwKBKKopyLPgtq6OQMw8wXimJXoezm6ri8wObGn3haZpXFzScQMFNbo0THUEzj8NPFtWZPmoT98k/SY9EOY2WB06TsfisTZEndn2HBp8oQa60QIhMDcSOqfp/nF+YiWQOYAwXE4TBrH6+Dg+SJfIDKzMLJ7+iIfx/BS4EBGuIkWzvyOKitMNUHl2OHqaS3C+kWkEkzuG9KTh8qmRr+hMkVWwWJQjWBZQXzcVmQBT7VPpPC2KoYACEwkZBF3M7vErK/zIREetJGTfO9uosPbEDaoBBVi8XbUVnSljc5/oUnR3TdEvCKiUviqYqhE01VqwLAgYNpb81jnxKeL57Gv8mjuoU6qm/r+dBIjLvLKInrzfOQilbi5WMytTo7ydy0m2SGHpKI1AnJLUykJkg4P7cOko8GICCYk5hm8dAm5kHwwchEXx8V4EC3Du3E5RuO29DJuc0yTxy6uEyEWywJBqIrNNo4xOGDLAmYb2GRbneTyFkK3jFzdjbxdJO4uL9oTtP2QjHXt+1gBCMQkfl1x9i9lRB5H2HGZfUlmTCGMEYUxWc8NrEBHmETrB1SmKsryXcsIHqXWz7eT33pyHroKmVaOVKhsUG8lVhRFU70VT9Vgr3Ikz+3BEt6fhDHYA9I7ssiF1B2k1x+1BLLuCqdtoL04pCMQAjGpR4So5+uEt4gtltyhTbvhOqLF3KWLfBeCU20hLReVnCvAq68rOc/g7JdV5EzCLPZbCuO/CbumpJ69LvAlPykXuQTck+UiG+HCHGHIqYR/ODOnqLCTcZBlmKFrqdwG03iWDI2UbNko8xhPdFzkJXCZxWieIB8D3fjbJHJZeeFvX/jbzF86wFzdDEWSCv/rQdhbl8naEw+jh/WNb3L36/JVpbNz9WHc3xCO109c7ex0ivE4GoygArAAM89reEssXtye5HR9WW5uPSAcq288N8Hn+vLSVvNHuGf2RsHbOv2eBzbQ7dJ9mNESc4KDhZs4ZyJwTBLQEp0YCAzKDS5wW4Noq1/ROlv9LTCdEBmYAYVghUC/FnXh/IAjXjq4kJtl+fjk/PEW9DwwepddSzVKDujODmhQo9wtW7LWUTXiemWmUZOqMtykK5rMKG313gamnUIU+Smqy1pwJFBVqPNyq6NjWl6duMFKVDLmTcex11VdUeYonQMtueG0K4ZCqcLRQRQOP6I6VKl1ozvhDCWyiaDEVEOVKtNlNIv0ou3i8THBa6UflH64iMuLHfWO8B3DnmbwUljGduQkyRiDF7TwggZ9Gobw8sihjnCb5ekJBHP3RKFDf8VXNWwChzk7Oi+Wtx9WG2u1xrF5z4UxMNzKlMrhisqIWbYJdQ0Z3byI6iv0r5JK+JzgU0ShB0SPawqtWz1z01Xw+mApqHZjf8lStcN1RegIdf6Qpto+PDCvVkQdSQlOCfT2SZtGh2wE9WsxHk6F1i3oui1u3XK8nsEmGlS/oSoPyrLlU/W0TGQXOtX+abVCLfWWvqJ4DcM8ZclkQX4QVJh1yjQWXEXp36JatKKe7sPNLjx0WqW+lc61iO8f4UgcB6UhPiljOkewVlodFm91EVQIzJe4B7LR1SoHIZER9byqUaaXjEeQ/ep5YLzClLvJgYjvavA45qNWHgETw4QjqANyN7fRU/yXoxh/GYgAKLSgwmxMkU5RagIMCKEZ+5uvRAw4aisqqPYIhumapsF4PcK5N5scVqjq2YryGkJpEIHo3KdFkXY/SGMUaPQ1imJ7wgf9hRt8beIox4MUiGt83oD1usmMKM863VpuAsc2ESkUsb4FPevklEI3FLC0jhx5/sgRMLmUDapsA5tu/GcwmV4eLB9qRoq3WMEI6vYDKofNB0NJ3aWmSb9caVbk8lJ3JZYfQRvsEWWVx1Vk9HR4nNQsigZBhrl3c6T9uDDn3zybQmImQ5pJlBbx7g9Lq4hee/C6Q4GMQ7iKdnJPpFaHS9BVtRbIrIpdwpkVMFZN9QnVZAaMtk0qv1PWDlThVUV7UFOoZsB/GlW0PQ1UlyymmV74uxf+hhyHslzgvY+MY0JsRn0R6cWDQ06IcGwHJw0xWEHjw3WRn5Gnl+xgHvhoB4ZS11Z2VkvBxrKi+rLsWTDMoYpjVeZb9cqip1GMZFEdPz66OHekVlmJrArY2c6R+0+X2neRtcXtl13YLNXdXVBxXmiXo8DyuwvzzfKCbwRAsa8S1ixXD9eiQydWa6a+4lZL1fOvu/dYhsULdpvH++1h64y14pHAyTzh7/NXUhxg0KQ+hzwSwEcXES6RYybS4hyAyEGNs4xxb+vguacnpc+9nGMQP5dhF3n2ZxPEItg8nBDAA8/SuBEm8jeMRWwLyGEeCJXPWj6O+SjOq2oenf0ESMIeiMGGYiqFNSCL55mWCm/ZGPnAWAx2+u4p0dd/UPjQbZOCrqUifgb6d41EXRcKVIyz/pXks4UIa2dSmdbSWO7pUdWDrSS8CFvh5FBqA9H04R9C6k2Mo/4DhX92g5MgZXr9T6W/xIz0A6ZxgcPv/If36a6rv0//4dupYfyIYdDb1XI2B/As3C9LDjzRDUWghXCt+nePPqbr72Oex66d/cDdMMBNH05yqm7weSnEOpfamiv3YUCBszJ9HH8vyCI1ZoMgAi/HVBXYCCF0l3wVgKEGMfR3vAotDq3v2I63sqRfVk16vN5dqi7+mm3Z1j09DXpJrUa798MwuNuoyzBcKjdwDEBN5/DLmQmDsV9z/4NWshZPRSdV0zLURj3Au4w5UuQJwSyYYlzQ64so9l4CrdaqhDh1wDVjq8P9jTgQRJI2QqzQKdo2XA9UWl4oy6pWC6olg5RBLwZLrsMIgdNUDTSyRtUNHr25oanboD5c3TdLNimZjlHRA90p6Y6/UIZuAW5K+C9oO/8SqEvjLM6Qg9LpzlfKlfmbonZ3A6HkNhKevvAN0EnHuEcOdoSKIyNW5FmR2JdP0aGTSDf5QblAu1dDWQBtDbfzZaCgtn7q1EadVI+ePF0FU6UZHC/PKUqpgbMgjfmGKltqwwGbda6suE2DmPXz5zfn5cWt8+f7Deg1ry30O05ppX96q+uaZUzX6ar+PNxfWlAsRV2AN1gKbZTALvWPV5aNql6xy2s7F84cdrzVM00EK68lOdfE2KsMumABZPqIdAzk+haolTulV0n3S2+UvlN6WHpU+j7p+6XHpX8ofVT6hPQrqO1b8VY8QJRqDA7tglE44NsunhHnBz08s0jGzlN+hlbCQWdAN/ssYjHlz9MtsBGZ2I9x3yXF/eKZ4vkTva7WneUGfA06GsMgXdOAbu4uw1R0/bBu6Dr7qKGbTD/MmKNp/4YxW9NWKPWo+nVKfZUuK3JZVggM88uKfOMvAhgO1GAT3PgqP0Ncfv3GNwuP/Al/yRf5C0P+8qv8QzX+0Ts4ASumCdSUwQ4SnV22Q9bw7Qp/eUl8m790jn+A8lcX3lwrvLnE3+zxNxuitAE/FfHL1cIDc/wVc4XSskJpY/71EAj5wjBxHKiq2HccGu07ZlRAsS+5Ol7wQrdSm/BVaaR/2ZrZv8zyN5jc3xxWRwmik/udZ0dI43YKyea966kmm/Z1lQrjAx4VwfgUE1UVDnEnj7mfI3PQnx3CmXTULelK8sxvDK1Htp7HtQrcrKrDqQpg5805NED4PK4H4wYGt2Ow/0/neSSWE5sMdYYJPWdZiqQ5ONuVjkqb0mnpLOjFO6Rd0ByvkV4HuuMh6S3S26VL0vukH5A+DLrjR6Ufkz4l/YT0pPR51CEsBpp7SfLfkb/TZNCJuaJoC6Wx2WVQ7DZmLDuDCF592m+FtPjb67fo2PlKPDhDYLdB4q2ClgE9At9eJTEMSxG8GJ6N4Q+zI8fJ/iyB3qCqoukt32/6fqtcbvKdOV3XFLVJdVNVX5B06qoqKZFycOMrJAgC0B03/jzdakHhALfQVdWCMrnxNf40EU//uUrhlX/Mv/XL/BPNss9/e5O0B0mzsogULSTkL4n5G6v8JT5/4ZJf+K8M/7WKxzq/U+dlKb4hgkIUvzBLP+B85GphTJBa6DNw1zrZQu3Do40RxHItn4i8b7QJ0qJ+wLHCLYgVMTwPOjZWmNWGCEuBphnJqLo4riSmzJTuTtISuY36p6gnZmup8U9N1Dy5nsByf1D6eIZ1kmfyQ5RXnuZxaBviSuTwli8hJfstvhY1Ydvni0pTt/D23CITI5f7Mhzba8Aky7PKCJVvuVYdgbH0SZs6JpEevpM75gz91S05n11/Ph++tYdvCwrvKiMQFz8x+rLiXUF+U/s6ht5e1y2Ro7bA64Z0VfqfxrmduI7GwpGUe7SADuJhr0NbHBak+z3u8zJh2+fQL9kWxv5D25Z4e2GrjKyA5aw/v+jYcmXOMOYqsu1853SejjIeis//pldQPc+hlVfCtUrFb/iGAZvKb77kashvuPG3ojpgYxZk/yLI/v+Afe9/Z1mPh6r//LdP3veG6hPU0LdD5n+qUImj8h9Ab/7jE+Qf2PLfXeO8ATHBLuOGXrz4sW+j0tG1T+NXYPPUte1vj9ph2VyRAjxflHC8fDtfJR7P/juU1Leb+nlzuSy6gBeBvAYjrAuf7nSezmeWnhTept8PCgSnd29FaByaHNyVn7yWu6xd67SzWaermfq5pAqvb7okVu8TKK070kh6gfGU++DhXBvmdrpNumdsXrHFCqXE6ZbEYV9OZv8QdiVz0RMYLEMHuZlxUfign9cjj5h2bc42iR/9okCkolkKlbFdwgpLuRtZGb9Pl705Dw0o+JHNBEWrKUq6LMC4pEJ9Wgn+4BnpFbgKOZhWqtRjH3NZpdU4sj8mByOt8tqkgv70tPKluw/nctBJbByLPTOlvCR17E/A3pIMu3uZMDxV9PpL81qnc7urXKpfLb1Z+u5J9T1Dyot4aENumUMHg9GMl6A3OmPOlWDJfWxM4CftPZmwCqH2Op0hecgzSg5J/wRZeH3WaOh2J7GbSzDeU3CeOcAsmIjsCypSxoVXJhy2r5YfnovN5YXymbvPhAvLRlDVvKUjaysVUrty5YnaWskr33HXBlm/647As9prRxZtNt+VpBxb5iiM1DZghHYv903LUTV78UQ/M+6NhMhPIti3YFuEqW2NySszpLcu6PmHefloO3ONo6nLXM1yCBgMfDL+4aQj52Ajutm+xpkVXL+euMPW2yMOdvCWquxHLgxC4PUXk1iLLyR5K8Vg5Jl2WxrOgdCCcSnPUcPTaLbQMfRgpbjSabfh34PTyOy0O532lalUpH4Gwq8VESeFXPMk8+FIfoWh9ttPJ/y5M2vqrQEN6TporNRn49+nDk3cc6PsJZ7AMCCJ3CBwo2sIQQh9yElmYcJzdxskkyerjrx2EnmTYSXyuIc10Lb38LydmcdzMvRNgB5TansZPmaxaYoE4iNuwuKeOMxHYXzJLiG1x+kGcnkRgqQ0V3j5rgUej0IV7RLuCHJQyUSZXcHCYLnwSXzJtotF5OE3nW04U0BihNMnE27gCkiSw0h6lmcQ7HFv4wQhUugINCr470i+JJ5ETfhELIwkC+baBKwI6L0vWrjF8nw1ceym9GtJfN5/oqmzN32Wk5xaApF7EqgUurPB08oQzy6nvUbmnwE0GzzDCM+d205pYd3RGK80PL8g61HqyCZ+i/1ElLohJ2R+NaW7sLmciByxskKaxZ7hyZTqxlAPgGI3XNBdLpvwGqgOxD5M+oHvwnWwlFqX436dGCCkdDcRna0Is9bgCqnw3AJpW4XbtK4Qu7Mk8SF1SRhnvcVZFGFcLO2IxNhQ2FPEt4+qmi8TWTHmDAV+fU09avuEUuqazEKtbDHThcOD3/p/24GmMrcky9AXUiITIpdcBtZCYG8FBiutlJgRbNkBdBzjd2nFmxCPMeHJW6QvTeHKzTNlJk9AEoBpIglhku8N3anxuy6XEL6Snng48UV3XKDudoSDQOJ2io+K96N+SNbktczP/NvD9xjXkDXVdW3MtKSqwFjFdl3soam6IjMzYavJ5JXsVoRrnXnraG3KB6lMebwuz2v0LM3KoWKaYX6GaszULYUxxdJNBofF20RxC7dpWnKbJJWz+VdPakqbIzmm0X56u3RZ+gCMzj4ifSxDas0mmfoj4FutBHkrU3ATYLeg3jG0Amdl8TdOZmi7Sd5p/ovmikhU3ccJVAzAQBsL7oVT0OuGOFxJVtU3QCs8K/ZxJECf4Wts4gSicmW3/XEQbD/44O7Jk50gaPOda7Cztxds7wVBpxx0MCH1LvzsdnbBDGulL8x9CPhbxBcLJ/lN14KTe7vwom1471N8f3uvDa/Fb7XL20G5XH4wkKQwm1dUJLTZceQbg4W2yPP8bYD1jrPd90qvK6ySSQFnSauPrGLILtwHtnB2cVZxQ4QbJDH8sn7CNmGiJH+9MIYNPt/nTMaQF+QnnsAAGPGuFlRemHyv1weLZffS3u4ulKFzKdi9AjbKxWB3m0/XbgO39nZPlndh93mcHm4Hu1BaLPB2sA0Hwclgd++p7TZhnd2L8NgVeBe8ZPcpcQgv7Ww/CC/mz/D/cLfTBl6J+WbY28Zz25yNQ/juHOdkaLUINQhPFBCi3mJFgyhJRsDjAfKsbkNpGT2iEFIKHaqEFD1xZYXFlDUOOx4hyjp0NL5pFhaVVEU2bOh9NNVjpq3K6GtrmD4zS2FoWJGsfL/pmvBvBB/+Vh4NOh0fXrg97luKDFB78uqTSRR5ennqpo+lmbwe9a+xJDNKdoVhqczclwbnbgYZhi7HG0qCC2CUhPqdF0QuTJ2nqSGaGgMjIkv+94t6Vb+s65eNGH9+C3HWPedwg9GYcfI1GirUCUuyIjcME8tAVuD2/ClfkSPLCMOSyXzTQNdnWbVN5qkItm0beZUkOW3Tuf07+JxAhlHL4X7OktHS3GzNfCghTPx8UtGVy7J8Wfz8i4PUT7F08PNo9jT+tA5aTYlfxP8BfT+OXDCmYbAjiyLkddLZ4slsmtw7ImsfvfugJ1PbO91lz6Kqq2jE9R27shAo0Omt6rbt27bxRarWFkhzvhUank1QI6p+1TS8+bJTUuinrbJlle2h9dYYbE30/0zy6gIVi7hyhnwGVnbZTcrNV8eyGv/uQWRnPOdx/eDyUyhLJj+nZ+ZeZjcrP9OSNb/tQLIzNaPzG26ufa8V2vfozOxN1lM+PfLkQeqnsDx36aAVoxZoTupl31W7m62XiSt5nzlQpUxe23vngZty0pb/V+m/8Kyr0uBmaX/LQcg8cA+Q+2uuSVWeBwYDZ5usi0MAGFcIGcD0RXE+ODiRWPGYSGvQ46FmzW7nZ0y95DFN16tO5NmW3dpttdp25PvNM+VKpXzmAvzMx8yrWKSiUNs95pXOV/SS7DHd1P3akX6///bNkDYbi7uLjSb8dJY2yzZoJ9P2TcfO9eDz8H/MUZDTWYfNHbnXbyaJlloTz/JKm1P0kulXPSYAPeDYsE2vxo8tfZ1ZZsU3G05twT+Ht4+cGM4ZPQeW9oSc0XGvuyNmQZLpsSEDpbY031i0vXp1ueF4XmkodfSpUztq5IW1Sr8050gj+aO7vLwz80djjcStbosb3vzT03JIn6rWPXuxMb9UqwkyJqeRroVepO6cOvUhTtBwHuk2UJPO/03II53T8kH+hffneiP/+B/gex8qLJCnHyzkky6BrS1iRieWcN+c0qNF/akpaaWHynpqUmrpHMsY6wPzpfSlHREnlFXLMFosNNsuIvtHmvBv2yFdNoDzYCAOKto6z2VbYP1v5jX0a07TWaxfqGvE0Jle80p+Wf6nNdcn2/Ly+0RQOKnllXslr7TXG8ZGELzRjgxN7eklf736zh5b8NTm6dd6PG42ytfs1kAHVaXj0I/jSgN3KsfBYJJlUuxDmaZf0Cac72SnhUYTJ7GYMNziRMJIC+SstlajOl3o7fQW4QIcxcvwW2kdamHy3OV4CGfnmZVbcJiuHk7csmBgfstKp7Y6h7uLmwsLm4u4N7daay9XcS9sVirNEPeqyx1Lxx0UMvzFdmwn8rWS+CXjbN/d0uult0oXpX8gfVb6yggC7/Q1BH6wQCavLkycfBvad8jkCTqeViPxMcIENWJqVQCNcefRCRs5Tmbqp2xgKLiNqR60m9p8OovlPejmXymmjCmZgNeEV5BJDNnEuHAMC1fY2J5nyvxYl0v2+J6pPPuMmPEcXilpJhltksPPDGUVSqYZ2wIeJz38ikJoWZafF/c8L8tlSvAj43+WMeEk/Bn0v/5XEB0zWfNeAevkCelJ6Zelfyl9Ufrfpf8k/aX0tyIqKoUemLCJUhMTMeRYAkowYdNJzc+tGAzQGS/EDVqnU9/U7MYvQpxfTBNYoTMq2uaSsY80ZDeBkbiPYCjZdbs0vndgEb92UNkmrcnSYgu5elaZLlDiFuVZlLka/RqdKl9TLx2a1QjeM+ti5qMB9l2q71Jsngk1Pf0gh3bb3W83Wc5RJ/3k9OwleEFb41hBvW85SfdhLXKsgYlEpTR9io87EKdjGn7RAWh8UWTledRH2JXR9odJzNMt+9M2k9aXSF6eCXCYd1lM1tmbp2/0+FtG4tN49WnhTVKM26pOiNtKJ01yIzFBHcljthI87SJmn85xGgp4SfsYpck7H59siu6JD1yZFKZV9LMPR2dOJ82IJp8qjDO+c5R+Yc82Z/rOpxHfkwcKySsnz0UmFGQxtvC/jbwqvP4aWH+1tRO42U5+YZOPlcUztVkUXqu0Ktx2hN/8bbvJKdgEQy9WsvcirtcCj2kX9vhwudNpj+vC5u7kr64ljE2M6nflr08g4gvfOAh/k9HAxGKcFV+fXJq91KwX9XmItKAFilzGIgM2An1gmqBFjOJD0wOPwL5UNIzS5sYIx7AVkyhCQawTPnmqLfLcYyJmScyj4iwqB7Lr/qpS8krKkixrurykmMqxKtUVuq4wAj20KWs/lx8TlTGiHVM0uoPtcIeVdPUbikWVJTj1Nhtjm+pJMhL7bXiRVBCaZ8Ch6bcpfY2G8ATwGvUovrPa1Qjjxwq8XlaV6n2qCR2eXnLZNjXVk6ppq5asNMASqHNgIrxSWC+H9qNDrSPO+kN8lV/MrcQ8TykHM8CZjqbGsXayBJhDiRFYk3W6g7gSJVOuwNsQnbN4hpBQDAj7Yibg3cwwSoZRN/QSUzCHcbnsU6LKhJWMebxSMq7k7eVOQ6u2zGXTNgyLyW2iWK2a5oN5xOJDxw5VicZK18RDFwjYTCpBJUxklTCFbGqGAc+ZedMMNJ9sMM0gcD9VGZHlTeJrpusozKv7ft1jismMEh8TJuvLVCrzmakHgDM4POG4WTyRM0LfirVevoLLp4I2cUqIiXyUWc6FLoIQLRIOClHAN9xBMRvs8EHMSZwSUjSmhHEcqqby64rYReRCfulxInBF9qBil7ggNJuKDDvL0OMsK3p6QleWvx4c2zwW4JPh4JZBCOIEJhTfxQ8kF5/URf7r70UJPFSRZabLlQrmSpArh7JzDM/peC6Lgw+lhnRa2sX5jjQYt8OHZo6cQO7syL1YwOpgAmyo8aSxcL+YHbnLT2Sc6D+tyWsy/NMu1o7MyRaBz4G1W2lWfi/fvTh0z4dtdRkbiQ+8eHZeUUAsKGnLijJfPXw84sAwfnc5WM72Ru+Z1yi8AZqEfwfvCOVC2cCWGPR5aQRQDqbq7m/m0bgIiYPlgqG8WFTZ4ivDUK7O1tMXMS7fIMBMYslzR2oZ3Xcqo2fSW784Hyx3fQ5vEx0/XC2QSuSxU0pysyQl/g/r0p9J89x3q5vSwtHC4o5AC+N0dnmOykqC0i3ibLeia/czdj9zav5SCM0ucCuuD+M857RMEELibiqb6i6F/3YV/RVnVE89o+qsqpmNzm2x7+hMUWpM/zGVKQOikG3QXupAMWGcOFBIons3pD+VlqU7waqVBjwePeptZbQ1W8fjrliugeH9Zi8+gRAp+D8KUV+Qz5EgcVxY4VjjqEKwsYjjiGOKbyKI4P9IEGvACrymW1vxA+A+6EaFQDHeLMvEcyM/Kskg+1rgVedXNNOmAkeS2qZ2N2hFUU7VlCmWXCFPg2IIYbQgq2bUqyLsggl6JZTJNlGOElWz3ZoCil45vjzv+cTWeOENy8TCa6b2uEKU5FillgIPbSvCpVX43PE6m1lj3/NaTXstK9XKi2HdcMpe4OKyVGlqPWTz1kHCc+Q4CxHtbJTj6GmWcLx3/AAc/wc4t05V16p4TaeachfGdZy9RPET7mrqJO6+RE5KRfwEFyPm+2Hu9MqdtiNMXsKNy41im8wwxj5Bb0HkjFtMequq3kqfzZxQoxVZa60m4fmrrSRGf0ORirZsOtu6NeEzg/0M2x+iZuHbL5uORTBOxmRUgjxuzMYcmsMIupMZUTB1V4Y5UcAJmMaIfH4/gu/h6kxBl8fCH84F7RgXTQFanJX/BBUfSxhxLf/ojT/P7eMCUEGRkH4h9jS3tHOZ4DgGMa4ZJSRtdhgt7P9UAk9w4+vJzmcKIAW3FwELpNzfUWAd+JiDAXqobv46lwyKh+yXM/iDF6YBIbx6BBch9SU9KpWkJek26ZL04cxzLfWq3YQWm9Rj4haGTBdohdBWceaSp2DgxkZLY3y2k1sRwtZCNJRGIoW9zCE1WYvA5r1KCs6mO+jKCebbJaJl0QnbjWB9PWjorH1fm+n3y7Jf9mVopeWKTByPUDguy3CiHPBjFzpT0zZVqnXibiS8F68LV8aoG3ce4WFI/kJ5r7xQJufFVIz6mnIVvcGq5UgzEeDJ1NpE9gkmcUV/P2dJJnIZwYnwBHGX5O9SbIS3ssEq6sYG9ycWPq1814CT9z+M3qsPczDPMpfdF17g/s1rycqEmGd0ZJxH3CDAW8bzVXCcBGQo/x/XuxFsM0ETZCcGfM4w+u06rVtE0TQSUtMNNgPXpCFBBzu84FBNpopMVUf2qh78qztORTHlEEY2G/c2S/4OZqpV6lTTLEvTaB11qrLj26171gNLRZc30JAPCnDOjyvzqjrP9RDHHliHXh7LgFgKQGF3k9MP2pqJ1NM8QAjxQhYIT6lbESOcs5iLY0eONBbF6APBV7YH0Z9t2xQ6RSCX0nI4OHPUt9fgUFNauulp7QjsZrikyUdtWbPqvhrXPfVH3bJRDQ7DE4gP+v1nt8IydJiKjMi6tLRFZXsNRi5QREWL29Q32YqiwTuPWv732apfj+HvERed87D6gqqBSei1rGw6lO0cWJTfKb0LM7nuyB1HHqRFQ/nfQqMFSuyikhFF20IsLayqMAoj1kNO4G1bXRx64P5ZGaQ/Elip0Ii6ovRbDHb5uQgOPqfXI9UD8i7b26psH4VOTIYysKiteabe4mVYs/2jZwZYXoWCzD8EMqlXkXvRG33ZcC1WZWbln+PqvVaODnlRBaxOr7vSmCt/sLyEYKrw4OGg+hsGMBKZub519qhvHeUcX2GmT9uxJjiurNky3SpRZCp8SWPln66Y8HrLNeQf8CP4PKnBiOUuojnlWqN9yFPU5SDyO7Gv0S9bixWoIRgv2MwU2PZC9nVpS7pVult6s/T2woyMsDWSdMvIDfjhozTBXI5PJ7p/aBrYmzA87m92GegMXJBH51otAaKtcGdbgePcjXFuHY6v2dgKvNdi21CBcfBPVR1raiOad3SHqdonnZKmMud2WbbMEmgNb93zTb1kWlWn7oSymUJ6u/dulE10TUUb2Spv3NOypzYxlcRgMRt02dTn/Ji4urlMDfZ/ysR046VDW7EN/8WDw0uRa/w3BZueJBmJnp6DsV9Tukd6A/DvHdK7pR+Q/hFwUSz4w0gHJxR4QEiMyH8n0Lu3yY/hCoL2paZAYg6k/vJZcMBgi+P5MTFYrGgD8YPJSEbPDNJczd10buQRozpXNTB3vL3YXER0+oZe1XHU53QcGOjdgaCkyzynuUnVtqpdxElBzcATq8sIxdl675qYr7wnjTfjurk6tGR0v4j1+boJ/6mKpVqlkqXotKrrCAXtwMBZO4IpyN/q2R3LT+ZAVd/q2N5bMYv527d5VI+O6eL57DsdOU7yrb05nZw3h3i/yn0iMWvjD0hXpWsH4n7OTzFVATbv+Jl05+aqKh71vDlobdyzP6evH6DCfg2ZyxG6ruxfL+/POC14Xho5VpPfT86svyCfWD6f1lHRJ2m5ELczhBxQWBrnMfvx+JlxN6rf6732hOVaYPih/bCwuQAHYbOCrqpCoxR9qDZOvLaHt4F5CLftwt14VGmGcHRF9MP5HFeK/XoaMzHs60GV5cxAsLlhusPxUxP9p54UFGxb+rQyTXGeelaU9Md0q1C+C7pVKF82lkTbXGS3Dn2kv5/g+g/99cLxP3SHwbft7e52OuIP/ZPFn6WTNQwjBxsrSM/u7rbb4u9BPc/Nt8ZzbPekBzAmcQDdtczd5yrdIiTI6G+R0dh4E0T6CLsZDkrPbTOOS4+jrM4Ot1hFVZ2IPseCigOWiLUY/Zjt8XV1s7j1bGSg/QsVd8Xh82cV06zwqTVnxa3gpCqeUGXrM6L5PQZdtFMJdDNa+FnPxsQ35yn/01Iovvv4G6BZwSvzN2QnVFM5ktrOWkHeujzvx6Pc1300K3qKYjHyOxF/Iy16F43TA7BrM8Z4yC0enBgk3Hh2Eqd4iOGzuAmEEv4pmRdpBtuUI4JbzAKDwMugCotcaycaCjYP5oOKuqLM5qICdryoWHsBnXKshI9zPD+PD+O8BoxBD0sb0rb0JuCqNGhtDWJt0N0ahNqgH8WsEw+iuNWJe2ADbjGweftbLOx0BxGYLd1elHehU2Vz0AtHVFg2sH2soQCxXqXk06rnhGq5Ysp1Gf6ZFdkLHY9W/VKFwlmlQXwBl743QzovwYAl7q534rhzLX+Q7PcRl3FU9B/3bAM4jmlg8Y+YSRVvx5315L2JTw/yD+XwDIweXl5AKkNbZhRD/eBS2UNooEG8NehrgxDBgmIYY/Q6cQv9uhgY2OEW6yMoUXfQ6bZAiQ4lDU+WFw4omp9tEBCUuEKpv0LV0JmvyIInMpwNVeq1KK2U5ioKMC/Ky3+f4NQ3ky9gnwoMS5gWaOLdz6rapfxpZb8vzcVYX/wLhxNE/FQPo2/eoQntHI/5CkAz97tHq/tJ395Nveq8i8YJbA63Kjr8QXs4gS0r9bhzI9t74jiePi/L5/G+49k3ebbOkZ5XzEAlOmIoz+84ZRxaJQ9OvB96nGFCIvf+jMr1NIHBs9kDPzxM1w/nfoJuhOkHct6sTOcNR8jmnAHaR/jS0ai6AdRs4OzCKFcuWXRDljeoVeDH6Sn86GGIHueGiNU6CC+GPr4PJ+4HWhQFaLl/lAdiHsKAdrgI2usEn+8ZxAMMjY23EAh9XR5AS3FkxIWPB9nMQ7eX7p03LOfCBccybm94rYpWX6nJVqNhybWVulZpeY0oiUf9sB97Xuw/Z8/r7363Pm8/dEI3F1qxPLfiHD7srMzJcWvB1E98hzAvbPGTzPFhXlDMrXDnkKdfjADG6wgoiDGLuIs5WuLeAAMnefI2HDNitp4d0hvgPMQJDMMXKydPJaH7bK48r4StRcv11aMKvV9trFSrKw31nn55QaVvUsqVUqlSVuY4XMC/1nXqVTzZsShBEPFv8o7pCoEHWNBcZv551Y/U+ZU5NSy/4jvor5qm4oWuaqE6dGm5DBLikzmFETXBpU2wGxcx26Y/4OGdqc9Z0j4QlZLDqXdjnjqEDyWCkzp9h09N9SylC5pLz8Jgk75dY7Kh/RLm/NiWdRyPB4c1Q2ba23GC+yx1tQUKd5rUfwfVH8MVqm0YCMhFXAE/yU95gec+EZEiXFS7/a3OUG/fG0pjXbB/BsULzz1m60cNAQ5M/B8VCOxr1DAsXT8pAOGr4oiswY3Wl5IuexP6aURlGdo42VHhJJKuZfTjfGsL+uBbeabDIhrHAfbRK5uFIsIayouOfJt5wIwYcb1HEN1Bki2jPXT0vscyLGJC9KP6JzQVuHxU4WBKz40VZ/Lm4cRk+ZKlr+vQzcjrivIl4Q6Da2qJvIQ4vz44MTieID2kSck4Mm8x/+nlQ0t3Uc+iu9Xl7fPby8vbywJtaFFgD21Xd6nl0buWDi3jRbjj0xwpqMJRgyQxx8d11zGpBFqSI54X3x9nVt5xVBU7yoI85CtxeehzV5LPRYP+kViurW5trVYv1zfq9Y3tY/Pzx54pfHsjJdw3nZUTgxPLdql1/Epy4/ZGnfubvPANzo9jUgUxDXGWWXZktC1TvhQn/r8W6NGxW04f9UuHT52p8Ze/LH/f22tnTh0ulddO33Is0gNO5hM5Zdlag/Qsjx5tDHlMoboReIMc9wGd3fPFlEu7u79gsZMnmXWd5yPh6zvB7naHWbtWuo6P84xlniP6JBxBU6PQ1OUI5612MN8jzoadJfEIyLObddzcSYSsKoZ248+pTL97wVBkd75ZDq+qhLCr0Vye+6mtMjkyEYrDpSW1JstkUTOUi7KtnNtwNMUuL1ct5eGrjBD1qvFHee4pR5aVtoUQIA6VtcO4yKsmunkd5LEqtUFv5LQv8JzKA5zJPEtYlx6E9L/WCdurg3Evy3NXV3BKgV69lzj70f6o4tPTR1WiMvXQ1TdgnpVHr26+aybl43zfPCjfh6CXDsbyh6l6EuO/T6r0gMz2xYBHGufxiQPyeAKZ+7J3lM79GJtSSUd42cM44ancVIaWBQs9R5jljpzB1kP55+fFAFlsZzH2xl/lZdwTaWNBo94COwz283zTKY+Po502jcvxQcmfyO7fn0X+RH7/89m0y9k6hQ1asMB1TixneIGb5xRbfmXCyZxj3w2X/lvCq0lt48KBddJUpFVQjAdrK+dVGvAhP46DUBiDmVVbaDMV8ZDw/gauBuqk9nP+oDpq/6Ls256mlWW/djWpJNDGeD7gtE7WZ2ssMH6hI9yROy2w2llnKx6ACT+jBliJ5wCeW8Zkvt9hLzu3GkqF5/idxf1/WkofqTWXbcW41Vm+hScW5m0qoVfwfW2W5ppF7kQu/91scicy+NxUYl+8vE/N7Qi928Hk/Y3KpISOtqwfUOp1ZWImR1t5KbK/f7H2lf3Z5dqvBUwvlZKVqSR5mLeMRExxyIYMw9b2FothLBiTw1R8YY8RnfjaU5tvKP3JveSwmtB9mvpw/bfv/ZPSGzalzJ+mkszBb/CcAMiHRmI/9htJzOAZImJnY/HTTT1Ha82TF042803JOfy9h52/FD8lfupvnbhUip2a+FnbFr/bhuZ52hv51lgU5yTEU3rhG1A7G9wPGWjBcTjOV7FY7GNUYjbcHXSejpoN21pYtj6gqh+wVhb0cnPZpR8wGvO+P98wPiB/05/T/KUlXyuddpzTDg1bS5az7J+ymFldqJrMOpXaRMl39WRlSyrmC9qPDJZ55qY73xSD+NP70fekuO93kzWUWuKksD/VF8SdD6erKWldLkJd1qVT0t1QAr4MzB3JIoFyxL0URLLSLk9eukDiKEnA2Uzc3HhAfTw8RwUjn7fOz1HCSlatXDN0xnQDdqwSI7ReW6kf7i51qws6Jhi15yvzRsWuGPBru4xY+vxHZPmk8HBmSnRc0YnDQOy3NrpLNZ+hHwnza0vdjS0qGwxXzZgpl/TTvdXWXEUzTa0y11rtndZLsvFKRVe2E//r8ISctfO0zLdh9vKXUup8UVdEivLVpv5LKPpZkapSVnVTx7zI2osu+3VEeYWXvZ8aFP7dqgobKCn/UWkBW2/Q5IVKis+j3kXp1zmQVjw693jNK9JuBkO0z3erON7Iq46sFcljRpE83XwTDjOy2inII9KGXjL7Uce6Ra5nS5D70DjHMt6aSf7HmWQ+eWvOwB2RyFIa5uOR/SlNcovhxOQ+5PW5wyVaQLPJujqaF1bQcmp/WrKkM+NQ7PvQhnHNDSStATvCwJ5NJE/+UMf1N7Tt6gKGcYjewf70xgOOPphluRazfDv7EdsOQ1zEjzDBr5Luq8o+tf0muF+21DTbNc78RfCsnPv8ou5ocESeGYrhoZmNnDRntNth/hzfnz/QAjQWp8FmOPe8D2c801MtE8THAQkyLdXbpxJxTrejMqZ2cIZ3tN94xUvToJUR2hfIS9Ce7zKNrFi0HDovWnk+YjhpkYPQlr2RMt/xUnuN3E30JZS2lSiKXfXF9xKXEsjN4fK97qWVb1aqh5dQ3lero9qHvuhynx/RS/C+rN2tSb7AYOkNF7s1u9jXEA+6WBxnMLM4lYNTm7a5BscNqWP2wUFRHYBCTJLLJ8RhAJfmluaS1l92l367XE6p0Qzdfr70/P+3ffxwUzT3krf625RagoBja+0H4HL+zaPwxW0eTTOkgrrc27CbsGCchFxcWDxGj+N4WP2GXitHlqOseEPklV2PMU3IxMpPjtLquBbWtar5tXrz8HrXo5qZkb7sLCx3VwVH/5oXY0S2739psi2s2wkd0uZLkGxcm5zUXSkv3vKV5Uk9maIX+l/Bj5fCjZdQ5BddsrQfXiY2RgwIZDyEug9z3wcYbX1E87T3UWLqfUvf062+bhJKNE17XHMtAZRsuVrKC/Gulelvi7usl6bs60169Tfe976+bu1Z+tg3So8/DjtwmMUhzkH7vVt6m/TBIVw2HC9y9iYb7sw+4N6NfTFnOrTH3XlbLF2QExG+w0kFKzyPbZomq3gxXy3fpsanDXqc+fPzhhZUAo1vjPl5n73ajVzQtHyruaErH//0cRl+QVueUbVn4RJ38Ljxn7mbBz2CeRF0jUe4aARedFK3VDc2dEs3DB3/YCd2VUuPLdcVIK+FX1WVT52SVTU5d1JTLwoUC2Hnwr5J1fMYdKCex+iA8yIfkDbE0++T3if9kPTRbxdfxSLWVA5jNq3R2P9W2HvRLC5zNO9Lo4zubW/v8VAJvtlut78lzN5D1LAHR1h+mZ8VyOonEz16hITQF9wp3Zeu63HNwXVGL8QIY4baAna5nuC6JUXWPYFKY10s0XfiQihmWNhHl6G5im8bplWu1BrV0F8wzQU/rDZqlbJlGrZfmasL16I4LOO1chjD8fNUPkrIUZmmv8+p0AwrJdctVSw3sM1mEDRNO8jPQTHTs3Tp5Xlo5s8V9rHIKabSmkQlXXJ4JtQj0pa0I12Q7pEewIj0Qe9EZRXUREvsML7tjoJ0iptCAYWLf3g/wn4lTw1d6fcQKrfVFdfehK7wF6i5gL8ubtQhQNJ/W/K80slqtez7Na3EbE1x5vDUII59z6trtKxpfgPP/Pr8nOfPN+Z/ZwidtNyhtANNzKadjlnv9GibWvB/e36+PW+2JalU4IHFcSWb0iFpHfqPC9JdwIU3SRcFbtpmSxS+l7mthr0B4+XckFnxDtbLyxvzNeGwywGVT1QQCQ1uHGPgMArq4AEoD0Ne9KDY5WrVVETRQQaq6aVX+oIDvqaVaQvOgoK2wiHeDaOfXu90tHmbmlrHNIEX1PNiPLPNOeIhP+bb7fbS/PzPDTFwGABV8jLfUcoj0Fo8y+h5jsX1Jumd0nulD0g/In1K+nn0fsSyxv3cvWJQ2A85P4ZhePmp4noaImAJcSmeHSSwy5PlKk4wmePC1QEPgBdAdNzHo9hVvAoY1xS+6q8UP9Dl35IH9h0p+X7PcAz4F6C80cPiwGdW4yOJGGo+XFnVrLrV5rLaBoWkouWgfShNpaV9bX7eo1TT8E9s+d4jpdJeHnN4vd0OKeo53Mi8UvJjZWmJ0o+l8jw/B1eXNG1enFgGA5PKYIB2tnP8I8kv1JfwjDkqnZRuh9HtG6S3SO+AfuXDUF//BOrrX2BUeS6jRX8eVqzDiVUyegevnkI7KD4lrsbFq71C/YimNAZROJwZtHBwG1QPyn5SK0xU4VyxppJzVaiwf+wXaqwGFaaXeYVFblZjGmw/nlaaet/ECM/rvKVYWc2Usur0R+osvxLltWfOY+0tLWW1F6aVt1Qq7eTV91QuGAWslnyuSeBAz09AgS7kSRlGeP7J+pkz8G8ExHmA5+oj742nv3f4nf8MH57wRqmIV40YlF2uS7kCHeyjA98D76zNUGfPXoMP3DZLVR2gLJxDw2X54sUj9SMjZVmpP/zwlLLw0uynz/fglSszyvI0vL/+2gOXpTqhLDEqQxiNDhfmoWCzvhlsjBRnOTx2+vSxcFUaKlOKicS6jGPc71eoL2xs4NvXZ5Tr362u8k+9a2bRCjRYIMuryNdW2DugnHyEi7M2S1K4bN+ErByawN8WpsPgn9YYSg3OEKBtONK4YkWWV2QV/mQlrps1UqqbTB3hf5kKgA1KLt5SqhFn3jH14bqoSYc5sm/IcUjhM9x82ErCIdG9dT+uqMysl0jNrA9R1JxlHwS6CaSQWumWSxmBb5vFtCLPDk/gWYgGNMM10lZ/iH/DTPvgZFpHmTaJvIk8m/bV/Xj2M5PpmCVaN88z5YW/e+HvyHFyHKztNm9v62RHxtCQbivDoWGYYR5zhZEGaSGIKOt35vxwcNdu4xUaq4uBwMsbu3cNQn/uTmaU7bDaSw7vJmRekcHEV0nnLclDL9cCc2PD0bVqVcrWCo9yTLKGdAJXpPpFRIR4IEaDnS7YTQ4QkpJYgMoZsH7eN527aAUGOx055WPnbu2Kn7lzGaWL1QLEw8cu6s7Ghhlot8zdeu5Y2WmJn+isnJG9BGSqGZ+QxiWUryR2K+aYzQKoaZWEsLMga10wxtF8RA+svxGcqJ2vLj3yartUi7Y3G7sv3w79n7bm2vWSY6a8vPXR/iteTWM3mnc34dT2y3fvschK2SlZTiFGCr9/ROoh4uEwmsUICaxAXkYLWKPFsl/g5HSHS75ZXaKcrqOWVeDp7TT2wnm3O8zVzUf7kSBR5N8bk6c2esBikEsBEyhOSEPYBajXsyTuE1abIlC1l+t6YBUESj6YPK0V5WkY566rcTlO0uBtDSaQ2AWS1ooSZZe/xRKV5ipc4znPHe4/fQSoPSm9LNFd8SAW1dYaoNKFdlcEsO6H0DFGJwYgaic4WjiGHFTiAZ8uSe5Bxda74w7TUKlB7rijp+s93YQBvWUYJh5W9fcYuqoq/FKropuawq+hroPnXu9RRb8gbmRotZJKuXzivfzun/Z0hT4grm0YNr8ExTGynBqIu92EEp2SbpXulF4lcotCAaKiYY2Ed4sUpycHkxJxAEM4I7osKboo8h9XdINQalq6YZq6QdVfyUtiGnC8NZaEo3fqVOXUqZ4s3wFbOL6fH/zPaRmPYOH0pFT84LHRLBzJG7JnkxdhlbKsXi0pAPvhbuk+GIu+A8czhVGJ8NwLuxOSX0CJMcS928MVANS3HT4VFrcwgDvEW0EMsoFLcSSarga1+r8rwM+OowO/+5HhFBKw80nbJTaBsYhtB27VgX3d1k274vZK0faO3/C8hm80METatz9hWrZt4cbVS6z+qdGcEq9Wfss2qAa8UxTVM23LgOEC1WWFembp/LlzlhWZXrns4cZ3QmfurjxH4JpkSGVuZZ0uoC30wgx3IfVgHestO8MzgNeEj4EufuaFewcZ6iv/F2LpPFypo5vXOXusbXEfTvJ5pvmvhkcMBRihLIcs2hY1HmUvEN1GqLipEoz095cK5LX3L82IUZkRe2n/ko3YALkeWgKNvSmdk+6SXi29Xfpenifm5qVwaPCdSeS+Aj/oxSFrdU8fQDJLQrijREDnpwj5b4lkJ99zYOmcyyS9XwI5XZki7m/iKViG7M3umL3ZZf10KaMzhOk3bG3+dN32gvlKPZ1NHTEzG3XfgoFNPe062rKcxL+IvDMYqYpRRWOogfjl7uxsRt2nC99FMu6ekazo6hANCpL1xRmZiUbnBCbyh2NItPqbW0N4gcP8eexbwp/hL5wR6BWTO5kChXsj/Fn5++XPIF7gBhIi+Qy2OL5/CN3eMH8+41qaHhDbtEtEUU7KcoVoIzyan2Oqra+t2QhspKimKm8pwlYb5RMHbkJwB4z9jBNzvzOqqcb49HFX1khFlk8qCikBJWVdq81g1VNzsrIlAx1KxLTIXlvTbfVD+/GqkKurO5anayBIEalEOGyoWD4aDKff+vFxOkfSa5EJpE3gUzz5a/u1t58c/777LeYTS3A5EQMAcYmb3Cv/VDr7zRPuAC3rpLXcxNBNPv8cDzCcv1+cAhX7MZ+A/YKmmbuY50b+QVWx9Bs3dEtR38pKBjN0nVX8atUHpexV9XLJ9/9NrfZLCFnzHxm68LFbHSf2vHZ7UWtrhmZq7TZPpSzpGZ06WOlVoHSF24ocJfUANPUnF0frA+PPkt5yL45c5eFJNDqeP6k8P0bIDxIOJIUb2P3cBMoXhwv3ZbjzP/Jkq/BDJP+FGy/c4H7gAn+hJi2CvByFsdpJ6ax0O8/n+ADHRXoMJDjmrhuMeynz5C5sc9DVEBmgyw8rsOnCZX7ENNhFACm40MVHuow7hsT8+e4WvkThIwC4q8uvI3wuwjvAPmZmqcRsIIbxne9VKr5e2ePb37Q1h1oV2VFVR/73ul9RoleKAxPO2/b7KxU5il5ne8C4Q55tO+Uv8v2/sS3qaJ/mV+9pMIfJlt5YKVGTOtTYqSiuHyhB+WXL28uBfaJ+7mRTacwvkEP8nRrf7lQioOBlpqnEkWy+l7/vY6YJA3vFXOe03Q1kqOptha8KCixOprh64/9lDaWhWzLbVCtl+KZ/lJYUA6gw/3p5+8LCCdsnC4NzJ8tB7s/A8SmDoSzUrbShwn4vxzCCvcTYxP51nWg/rD2INtaD9xlaWZbLmnFfB5du2d59JuZvKFPzPmZaZFHTTW7MlfWqosk1tidWkgMGh0oVRieghJO5IqSnJ21zz/bwJiniANsMk4C2uoMr+5IG9uBlx/nqs884DvFnEwivwqyle21gnODbEtC5OMq33lQOdc4bFDrCNjXOJxw5Zum7unnpkrYmM2WVHeM8IMlaN3/36fHi4ccyRlzp7Bk0wMKZD0JZHjTxIKDmg9cLZOuPJEXK1tHx3St8xibzKEjUNB8ptRJlvQWqpQVNBmP1r8Dr8291si9dvOi6Fy85zqWnHsFPmTr/Lru+x2oyErDdDsoPBkHatyPPGhgxUazZ3uQ6vDLGN6DhkcXFLxB/lHNw4267s5uPNTHOXIMRtw+adFE6DiNuYfOErZ4wQplQn2iJd0OewpkvaIm05N2+MMBH1iH3qNrZuLWj0osXL966AQdl2K/bmIobY+f1Fd1+aA/jwnHzjErbbarWg065odJOh6qNzydh439kw63bPNE93yTjDQb9aRnqZVU6IW2B9F9ATweBeMFRCitJ0PswlIoYGvOE9wkmUyyWVDFvNFiUIQy9RkFmO579YaQhiYNvJGtpyoqiPqTSjTKUzbh4cQNKh8WsiwLhBuEzsJh/xCEAjASl549UZUXehhvb7bpKt4Et8HwHSn01KaBvYT+MNsMGqUsVkICOtAG6f0+6hJbLgsyO80CVrXUZndq2WBa6EiEoqUMilu4MjqfprtE9Cm2MHRldxKIewpXAL8MQNQwxH6wLtHR4PeL1g734++GhhsGIYaiEamHdhTEP/UG9teK5nRXnlEwVQqlM6lqJKVZJV666pt1aWOounVqJo/KhJd3SiSor8YqrE/m35fnVY4ciZX71+KHwawwBOGVmGEzGNUrENq6qpaXDIZw1VLcRG/BuU/9J1zMXmp69iOjyFCGR52QV9Lxq2XeppuUFh2ynslIN1sIgprpVVQkxw0BVTns1S60sLNVsWll4O2MyYTqVFcyjraiqWcltZ5GHY2NCHg7WFzi72UA0Qd9NIHjzWPgv90y1JxxxeqrZo6aZZ+p4ot3QqNJuZDlBGm2Fanyzp9EC5nGSsWQYTLgwIk5whvdDP/4yIv4O0fPkdATkPU7aJPpOTkRCloZyf6yNZh7ch2HFydAHxlhWmP10DsYzkTPk1MycFoKe6URNziXyPZSO0jc5r8gfKFP4J2jNcIqkv+R+wJP5kpMoMALfo7vv1V1Xf6+rv0d7Lkkgc+YCNYzBhQTT+MIAN2eEX51S+EYL0boHmbRMkSacAmWxofJPIYIy/xSU9iOPPvqxRx99burnODHh2bMfOHt2uP20J7SfDi9tlnpB1EAujI8j6lQP472ZVmgvmVjmHJUmYYPHmX9kk8OjCrC2fVrH48n3oE7Nx6a0i9G6BGr8mbjg2BbGsnBOLHyxBfxKofhF2Z9dfiHzx2bK/BbHnRrhTWeypEOHlLOEzBDyUZ5IiWxL/wXkLsxQaYbL3X+O6lTIMuw8m8nxj2TilOmU5D3VaW/qxoy/jEsr7ICYTnrfj4Bg7qfXCy8eqR/+zVwsHhjTpZPkdFLzn6DX9/nqfpI7TsvVvze9vg/pRake734myvZMnh1Ar3eFjE8SdKEJJkt741un18V8jtDr7YkkFEgkrRej2JXCN7he3/c7oJpJOCh8LdPtN55/dPHRfT4ZfgAV+/56XczNs7DQkxWtoV/vQfMkwOMxQ2hMr07L+TBm+uzXOn6di52AHbmyX7vIyZjcGmbq9YmFL7aA9xaLP2zUzCj/QfR6asYMf3yypL+G0gIdL0mv57ZnVi39XSFfwmo4sF6f9CawQ4ZednWGXue4WEegXpakN2B+03gLw13CCoPhjSO3ml0N/Tr6m4j1t0MwFkYJedyPWESLBhFmP94SIOxdzI2MeG8cCgI93Vs8x/Dra+Hi6TgIiVWqLfnVcPFMVAmJo4f20hw1rDnHcCuGSW2d0UrouQiKZhm2rcA5gxDPZC5TDKaXNNNw58tkraSEUdCrG2Yl9pdqJVsN46A3b5m105VS6YqhMYsZmmGqVGGWjjlHNTVyrLLGKIyJZIPCJZXAJRj8GKFjZmv+RznOPI4MEd9wR7qDY8OJhcLTJM71Yj9JIAcj+DSQcXOrF4sAbBjLF6B+mIBqPSNyziVB0GfLc0FQWvTwZ668WCrDzlIJTr0SN3+Ap+2l8auvsuH8u4buLpeehqNyadrdTw99aagdVkfboQDuQECGQbH1vQ6xOS7hptD0DAyruoSbkfbWmd3ekg/gRMvkVvaIknzskjK5iX1FEd+FTToWYKDrbMT34HP8fNLoBFEV5WmEBYEN7Ovwq+GmmHtG+MSOuBDnr4gqOZz38fSbWhG3+62XUt4M2ZMiz+j+2NxD9E5C3j6el3UKxPbrcnZJmZ55Bv7HXIzF9xfY9pXhZ7QEW3JOMvga+gmxho75zzk0h0s4Un0vbPEQolZfgHbskA6beAEhQEYuPANNGrE9rXVlbnlO7XRU+FF+8T7L92O4ckoc/qK4CDd7cO/JoVsJS7BBy9i1BFj6YFfAhIoDfnpXoHsEfhj6Zb6RpCy/+xzH/tuSbpNeL30X+rJlsGfZlKYW58PJzc5gHNGpqQ2Kd8Tj70CM/sIdVN1NQABoI0ueu5mcSKKX87O7hXjcBFr/Yf7zJF54UlvKIewvq+Lkpzkaf37+s4X7CS08kPBhbpQPgZBSjAvLw5SHYrRZMaDZSaSZFe/ga5Ickbo/5R1fyMn6NJ1QjCfJpHJQMv4EqXGeEppGMG8kuZELkdG7SsrUZUIncTUf489Be/XAMr4rGyW10nzt/W6IWcY0nPVMWi0C++ST/puYZkwk7xqZpH0Kc5QjJeuqhok8YQRULr2+VPYinI9QjeTQSCdffZ7MdptnFPogU+e8D3tzKgNdXsKD87zgZnKqU5izlV/4Jp/PPCq9Tfo90OcinU630+eJZbqI6c8wlhX7Yh6chqGu0CvziNdFciISOVMyeIUTC0oc9Y5jUBtOcWLezOMY2Yaha2eh9L0tfqalMUdpCViGpgBiaK7L2P3zQLh+b5OnuYEH+Ve6fW49iBST8I+FWg+jtuEz8G05TLK3RWQVFHZoKzKRHV3VKGwp9NGypvp2uBnavqrJhEAFOjLVVL3Es6ZYmAxSVg1VNUwZE0lqCnN1Vbf00lIJtqoO1gMoO5kosmlQxaiBeaDBA75FK5pZs7QKtXxDlcFs8HQwBzSFENXRLEVmqqrrmNKIKo7hr5YNB3PXEJXpVGXwZc2Bi4pmOqF+H1MV26NUITLaHwhTa5u+bQbMtllg2mXDJug2xDRDUSj1LBm2FnyVKrKmYb4XoBxOKZgQEw0WVcFcM1AsuGApcNlW4JwNFxULbtFV07VsXYWTBtCj4QsUOa6bzEO73dXNehVPwat0hsxRVN22XFNN+0yU+w9JUk+MfDCGuy+yFJ3lhxhTD9tFgouX4rCDI6JuZytalPvdDItb2J8cJydECYlcHh+ucUcFMEkFfok4xKSNcaR1NuQw5hkcwZSE0ZON0d5z5wzCgNk0xBSgauhTRafNc2dbwGlV9UNq0JAS3ZSNc3OInGND6y5hhwYPyqY++ty5ZvKciplEsycxwYgNDbBWwuDw2l3tlqJy8eLZbm0V3iQb7bZBFJw/tzGVre1jatpW+64aovuUaip/HEnAx/Fr054G6mQ5fxzTdOLjWT/N6+BPhusgSX/A66JzlkypkqxmMNPvSAUhxNaijAgxxYqaXGEjFTe5/kaqcVJ1cpxsXqt8bDChdm1k3lzVIGDe0PKkqi57Gvy04rgFDNM8f6jikaGGr/J8w0ZVCMCIGIit+ILqT5AJ+IDM+Acwt7DqlSeJSP4N1BklFBillAtMxeYVP+804V2aZ04SH5MiCUapZGAyY2oOCxOoMFVpmR7/dtOZ51JlV8aFa+xT46JW+BISnX+qKHnjnyoIYt4H6tLHeVaizIQrCGV3shj2UwFE4JpUNQymiFo8UbhCEKdoVJpYLj/4jTC+JvpyNRWmbm2CALXm5lBy6HB91rojYgLPjovG/Hxz4qOi9puddvtJERv4ZCYJ9ao7qfLdNdfALNnDdeBW6+MVjG8Yr9PpL0ir7fH1KFqPEn966RukxP2ZY47Z0uoPkpjXnkuSqOMW66YzizmOMh/qff2u4xt3HD+xpVea8XKoqzaxH4VCRpg0pQ1DpjaHMXuqdDvxSy8jl2tveUvNPXTon6Gp8rkQ20cHursOB9iQivQwHkOK9LCMhrhA2jR6fqtAyAlB25Pj9Pxu7a1vrbmHD/+S/TLiwd+X9qVH8Gd9Gn/cbAIQZVwg6qMam8YehM2fzp5FrOLPccCRIXLG+LM+lT9sMj3T2DNMzyh72DR6REc0Jz2fIOHfIr28sFIwUjXF2YsinBtogHSftYaQpM+DCczBV+CLQBqIcbibxKsmm22kjGdWeJBvTE29wjOCqdpzeOJnRur0J8Rk5HbyQ/icMyXrKbZ0ossYxzI5xlEaRsuTpS0ZDA1fUot/k3sxVGDomu8n5ycU59acXjMvxXDJeEEx94P6sxzapq2gJGtK9ISg+oiYOD+ZTCwmZUtk5QbBiFT0/j6X+XyjQwUMMvkw6wT2t93Mox2dZlh/MK11fcX1SUB0almgVgynXGmaFmaLMl3TnAtIXP3QeFv7ecdUacXV9PJiYJX68z3TN+HfvW+5xyv7757c8FLaUc4XBe1BQhrbrwzTaP8LpI/MKMBj47ST0lvvBSr/Ii9C2cyL8HMTiR/l+9mb4PuUVnswtg+34Zlsf2BKgx7l+9mb4PsU2g/G9mHaZ7P90GTiJ+uilKhkCiul6u9ZF+GUwWjrLc1WRVN00XB5Mi7/veqi85M0qzpTGUmpP9scn2fFOd4etOpXSA9ks0fJnNCUtC87ZHpCmOnPPJnM64gZm1epIsfjo+LsPxE/nxOW4f+VXATeqk9jeZ9WEUnnw7g7tKnzCbccOJDvFRJDFqbLslw3aBv70rJ0hPuYp2FDbCgJm/DYyzMu4vznUNa1p0Tcz4aYoNzIUrd77WgJ9peiDoe0XsHNsyK86EMC4/h/yyd7d70Q7ozuxPt8H2+WpDynTZoX8niC0Dgy+9wfpTMFjGVCCSyQuIjgnBGfhzDlRO+K9Dwa7CP1nqD0lQn9sJkyW/0GkQUnxlIshScT8Oak5FAiiRXieYWcnZdeJX3HqJzluqCzOTQROdSU+GoDDyXFboStyzvyguzIiOkm8r9EycDiboUpPjYjX2lQdQFlY0Gln6VqmkXBkTX5laoiM9NQzsnvOLRTd3q795xpwPaD/ff3PbV67MyZY1UV5U9gKqrasgKv0yls2Cv+/+beBUiO4zwTrMysrKxnV3VVV1dPT0/39PRM9wxmMANMz0zPgMQABElRwogiSIEgJZKwJMsi9fCZ0GNF0WuttcDKL8lvj2J1az3s9Yo4Oywf93wOr2DH+RySLe8GdWvHnhj2+uLA2N1by3s+P3gbt44Vdf+fWa+eBwAS0p2BnnpXZeafr///8/+/P5dfcHee0ruZZYNQxh6kxksCvpR975FOp7W9daRSObK1ndoqDolbosV57cnUFun2aIEQ3VRUpFbQQDi7mQpNZESgBONJL9PXRpn/ePyhR8/EFaMbrN+zHnQNc3d6a860WeiMzo6ckNnm3NZ19TKb0vk0pSGOP0Cn+5kKU6F2b5YkknaM5xi/f2ln1j/5yJGqy6tV7lYbP99eO9U2BQtDJsz2qbV22gcmtZeA05/WtrS7tYdlHM+0rc/AhLAuwZXaOHtkS+Cy7Y+UwSo8MlTjjwqgqOYVEEGTbCWvl9q7qZBnKKD2UewdbZNPV2u1qu0z0mgQ5lPLdSLHeb/t6SDQzsEUSj3TalRDDBGPTtOfrTb6cd2qOmKBExiAPH3F0AOjd4a5jzdqXi2xxPHLvmnVPMd1KhXP9Lyaabh3VQPfs4WwgskgFK6wheW4TbfWqFUM04MngaiufpETvsKrujH7ICe5Dz+uzU1qRyUvppbi1LJcgk1ASvWjDax/GUY4PceFYDGCxmGgmJ+u/kK5S6uALZh/1h9AlYZ+4U5GA2rr7fMohet84YkZnTGazLRPN4Sri8nXz8xNcmY45aXFF3VCp0MZH602S80+pyy0HcItEIedmFl8EQpFTOoEkJAwA+bYrBSLz9e06h4rhpKhgsgD2JXX/HCNSxtV05mmF5dj69Xqw91LuAyXvxkRQw5kUfHdsfXDzs1X+Q5c2DtkfEzbcVVixzgyflSCa5SjdeVvMxquS6fzgQxeoP7+bPKvJpsf//gz8bn4p5+sPjl81vnI1GV+efLce997brL5b4P3BksX4ofPbTY2H5lstgobGLKsBQoFfU6h1ytze+nAnbnkSScuvvc2saYZ+3HOf5yx6XeKQNTkobpAjPF73xsQQe+j8IPSH9f1/0sd3sfYfXBjGBTHwaquayT1P+pJ6wYDYVX7G6cojHFUYY5CNu4xLOKf0Zl4bIG5bOFxg+lnfGIZD9lUiEdPcZd4DxrGgx5x+alHhaAIYENTnMQeUHNe0yQ3CV+spZ8UPZXU2sYokUpuPFkh8TtVCowzlcJDjAtIG5r3Jym91yP66I2c9v6VSo6bukpvEXrQo6eATyQfIrR31tDXbMLv+Q1pv1Eq3xKWsI4k3ZCOhCsUxmiKETfESF7BWxhdQ6rWZPJpyY3HZb4eE1Dy+/Ns9Ch/40gn3r16XeZiPzXm8szcw4m9phtne0xTcR21l2VswVPaYzJuWwc4BdUGKiQLLqgawDZR/nSH3z9F1nBKSpsQ3l2X1iHI845+ktjE00N3lvNZN9S98dM7iUEEzBIxYzFMG2L89BM64cz2KfVthpYcul2hFMSM34CXvVB3iU3d4lsutQmcepcP/FZ2ugBfcOBrDD7tVMonOHZ+61vSJmQujd2ujdq0APcQyUYySpEzK7SnIl8OEukjIFKFZj2N0z5jjBS3uLZh2Efu6Moh9NzdC+xBx5ubWelaQd1ZJ3YYRx5tuQ3bariRLczQCvmDdWSW6n23WgV26T2dY5Ny6Jw7PegKsgFM20zixoE154QuMwM71u1Gw9ZNPQwFM52PwMjSSRJPrZ7nODhHYWxBH0StGsNcJ11904VMtIWSXKJyAe+LXrqOix66647J9T93zBfd4Axa6QTu+x3rcTNwX3jaMR+C4f7t1CDBi6ZDvqFz0wniqvuCG5iPW8773Sr5rOkY8ARjZWwZzMeawu2X42aWGRR49uZEZIO98hPGUHry6ZYbpBl7fjxXthQHzrvBk7pxhevnyFLg5rmbG8ucZGieDNzzXOfndCOztZLr5VWJeJ+P62l+suxIwqygL8r7XROTveiYb2ZU0mIiUGmYcC9Iy09ZoXfHb/ckKtJhX99X2HJKX5eSzsNYPn6Z6w+Op1cqkvGgXoo9oOwQOwfYIe6Zu4pZ71lMdRM3hfnhz6RXYFOsp2ffXslt8/Ov3czisEjj+YPtDV8oEowONrot2ze19to37Z2YS4zI83nSJe7GP7h8ys5p4Ya2tHtKerCpU+n7B5s6FbkqbHv+HP77CrNlzCvsaXwMN99QO9wU9oJ/rup7T5zs9b01dKZ4VzYeiYf7QvZl99n0ytOyf+i53HlcxpJ5o2zFcQ+X8se2WQJoG9BbL20zaRmXLPOYeEKd14xLQX0ORjC/2IDg6dd9x2RzxaYeWEqMTIXJNDDQEly3PT5nZ5vIR3aOe7Y9l2/8+pnUAukRuQ8+IE9gnCzi3KLs34SyPV7CQUnwACo6BRGB3KYVHqPhvxjbZlWEZhnD9WK7l/S7Y8GM59NoRbLEfR3KXmzqwdkAqaD3880bsfnvoNnBC2qg30FTqSCprqTl+wL2ppsTJHTE1xDt+GvCyfpSG2iwkI7P0h4Kw68NZXTkEc51MLGjh7foI5aVVFTFmUHkHWoN8Flp8dJdb/HZEzOD09POhBDMYfokboSY6iPyhx5xXaJbS+XTEjeNGp+/857N6SOve+OUELhu30SloRBNXjNM/u7TUuWzofPMX+db30RcBOBp7yjp/Uu2PLmaEOO8p2uUcplRwFTNUDkwWkf1W0k6wtWVLQm5rfO5TDUEuUHl2SSuDQpR862Z4YnN+ZpoHweJttUZttvD7WGnM/xdfHoDlVT6rlRWObwJrwqDNXVZ8PrW1vEpHh8Z3bE6rTu82xmeXGu3104OO1m/fSXFY9UiMRwlw+Ni0EtGH310bXZ2rdkc3HWGLP3yPfesrX3sY2MyydZ+m0YxE9dSkx7pt9ibGayjOnh9LY2igrjuq0m8TAqLx/dVBfcCsyKs+e7UpNdxayZvm55h9acnG06rbAb5PQ4I7lBOYbvhZMc9LixXcKwsy/VbHfuYIYrxM9JelrLNHHLhw2Q46AnEjVauRzVgF2MJ54hWRNjHpsjJ8O6wcTo5tdPcmPygYQvOu3fP1oD1DTvhmfX155//1AMP/BDhAm/NVEISm7owXZ9UXVLYWTRlfLSZ/gDKr2a6DcSJw0DlfQU+toERwl/0m7ZXZdw4a3BW9fyjC5E7lxiVmSMzFSPsRCTsnHGdVpM7UJmt0KofWWqR2nyjMV8j1U6vEyoe/79KHh8RdN+m5O0pZIcHfekIOkK3UuAZxAxiwG30oOOgrUaC9YFqKaDHxvpxlM3riYTin5FmVQa0UGC905BP0NwommfvVlsBocyLe07YP+LJKHvQzQk5R0hYoSCuMHPCw4eqU4HHWNBqmEKnjvkmE4Nsifpy1/FnE1KfXZqtk7gb0vps7AMb0aoK3YDvNBcGNbNK0TgpimuIwdDqEDRSorZbneq2fOJZJnz/ugdSM4yowvEsa/roUps69bk4nqsbnDbmFnq1rC4omcb569Qe8JLltxih8RZdV7vPf1iID3OXq10+rysdZ+8ADEnUt2byyIwUNkY/T216gZALavcB3XVd/WHDeDg7ILGuf4QZ7CNq948Qf/dZMzSfzQ7yOVfajqKPPVI+nfCN1JhuRhnXSUZgp9ar1XrzvZrvW8e8pMZMVku8Y5bv13pkotatyd+gHThLlSTR9SSpLDlBe9Ct5TgqTZBPz0BLlZGN+gZMneh0vYFiFTpVzwgpT0lo+eN9lWoJgF5lzBDH0f+tilDxSTeIYoxNHUdBN5Gw8ipXICNUIFvzYcVF2GG3EmK+KyA7eMlvzITIRnfr1ckoXpqeXoqjyWq9G7jhb8lM1xNb5tq1AkRyCyxXlsqG5ppoWsm2aV6hMUoHaWVIOKqrYQibMEYmKLrjD1Xm+w20lWtWGiDpVJpoOdfoz1eK/viWwK7M1CoNzwwafnNqquk3AtNrVGozFTtIO2XeVnrQ/45oj0qfBhnZQ458FTrIO9UpAn1qfQ3lbEk9rM5a1kGxemM1U6e9E2aEQWpeiTTehQwllSZvWH61MxtWoFOJswI6VaU61w59q8GblaTKdhLTqXV7DsWIZjS0z7qGTQkzDOr0ujXHTHjDqwfV2GvApNea8BNe92r1aDrmom5UbLti1AWPp6N6zavzxJ9o8Q/UXH9myrU8Bp9h9rQPPd0JbTgmzLPcqRnfrcFHkomJxKsjKawxvrVYu3lS+wDyNGOA2SXFclI+GRVz+iouFhYnY0bmYxbtSRE3r14byJNtqTTYzfoJ7Mc0458ull9eLg5/n7EmGs9MMnGV4tbA8y8ywSbRjqbJvghNWjIHk3Qn/S5srh/4sYtjCb5rz0dwAXOSHhlPEJc34TybY7WvaesY93U0HvZXMhlpGA017xZBgFHKEf0ZsUwkmoPSiqj4I35dxXIAVizpOoHTTaLiUt+NYGfrkdsPdcIsh3Mi7Bfqvo1BMfx6N0G+L+nmFyqOEE4lNAnaljKih4j+Wdi/1+Xa6t3aOe2JHKtJ2usVq7+jsfUEVblyTXhVbCjUV1nkYVfyenOHrjf8BJNREJXllbTauq+g9deZ4oGAwF3LW1hd8Kz7sMikidtX/vTAmiMJpVMytmsX+cWuiwxYp2gQrGgFP9I43m4fbyiTramxlQUtw4Ao6HFCe5P2mPbUa6AIjreihwJA8h0hzpN+0xfvEH7z4XEq4TLM7VNpzW92PK/T9B++IbkOaz+jwphmPbPaAAr8nW0//zoNtenO4IUZF4kQvobmc3j7edUU+TvYfm6dSrfUfFKeH2i1n+c/RQ7k+ZFu58IzYeNUcvqNwPO//RCefwZ4fmGZ+kylSmCOFCAZS5ZfyoKvEFPGfW5JrQdKq0B8uf49TOpy9B2sbxM5mfXibzJOGf2abhOuf53gkYWoKC8wfvRzV6EXkUuU80s6P8ryQ73yqMZSXb6Zp4NASwi8PkJDm5E08MgVNMDsXz7kW/4jB+QgTR/KY5fWu3A9CNHjFrSj2nGYh7b2r4DNpcA7JfCdXgrAk0akwQVPvFtWsu3gvy3hPLET7ThmhGcX4a+0iHZtM4L/cG9zc3POdHY28WBns8ybB7i2Fo3n5yRJlNJkdaOfWg/A5koKnVp8/qWvKUjUcR1lQ0ptZTUlgvspnXo/lT7rQagMJorvx5fV93N9t0htI/ZpwHo4W6NXj5qlY55lNnLES+nCXZRKxHJRUX34QKMIlYs0zcIe46aWGCzTK93gq4csGL7ytwpytdDthlKnnPs1loB5ewJZbsmi9E2HXzYCfoHDzrSlzkiuSV4wjcscLgewuytz2st1faH0EQxT1K78a72MZoNhWaZTfvSjQe+S+n6orIs2Hy6l4ZiXL1x5OHcPVKY+95bydkE4T125cEXL1y3nIA+ITHykhEqVpThYT+qZQRskXyJA3zYvmPwKJGv4kCw5o9Rsd3MgxBUecIKrtOVkd4jK9Aw33+ak78LgwvM86NJCcEHbRCu7BEp5QGaUQhMkiTxXiNqfE2e4eeXhy0/tzVlqyqSrHL6ef4JA/q4ApYi4AJQYz+aWommY5jY28XF4Gr4pcd8zPOemdkp7EGap70H04CjlXFEJIZfvUFdUqGnrq6Mxf7c1XNxD0WeZSG4WeVgc2STgsJChE3LlbZzbR8WD8ox1yXT0SmL4lAuLGsS25GSztL1kMNhbNjGoJTj1jaSiO+Z7ftRgIUhM3ubMpgeiUshU4OlrqvNdTXWdZ03ZLaLAm+GMeWaH6yBsGbPSxp4QaWs/a4CQpfOO6THGZ7wgEs4mn+UWoZRYcPA09CkfvkWyvZD7gu9B2iG2NEawelr7SYnGWh+CdCPjbEDZxM3KPrp9civxtSOdLJXH3Uk6koFPt8ljSKnB5kDSyXinER1Gq+hV1cHbnzEreoU7AsZo564HTzs+HDncZ5WvAvl0HYn3xMHE+7XXUCeW2XMMJqZx1ZAwRnBBb1oww+mZ1p51nZW9cQOQrEghdFKsS29GXJ4erUpnRBRujfJSz0/V73II8E6Bb53UKek6gloDw9TRaMWgRDfj0hIQtVpcQHa4sUCo3rENizeBg/In2nMBg6LJbH3rm9/6plzLRB0RzvpSvwcZUkaeylpIKlo3Rj1nygLKUJvyZS4WhG8sutSJnKnKzqUmFw6Zcai7aPhwCx6Ax4BC1hQ8IHjz0k5lCvXypfQ2b5piWdGGcnnqnzvor90sK3/KTLrC2ApKEx1pdPzWDrtp/qrwhnwRROkODE0dKn3jS3k+JbUyyh5NhlbdSCcoZMtWpJ8RdK3XWqp7dYdHQmcT77nPDEWk80WoO7NqLBuYW/3u11ToiOuRCM373jPBdBFxh83o+AX4aNVcMPiJ10STV1ePozksrYrJ0ENn7W2SulfdtElNMHb/GhZFuk2b/E3MvGk1NqnJMMwdyfyn1+5nY/XYgDw/mmIuHJQrcXsVPCIL+3P90u3VLVk4oFATt1e1e+rx6M3rccwtfv1mlfcraU6RCDerszllE62P1ZMHebo/53vTVAe3WTnXilz9vdurk2+keV647Wp41eNiIQmUrPJhILlZlfy2wmkwjfvRFeBNa7dQM7WUWIa+9iaU2+83viNj4mElus0x8YAC3+aAeCA9yvV35y3UXxmVIsevQKF+fW3jZnX4x7rRKqFCSDCJm9aiPf68BJ/YV4+Pfxvq8UYlu826PLDgt1mbh9Dl1dXnKA0tL72F89jysgXfAq/yOzC9Ynh3Tut1VINlYd9vzq9Qho+h4xK+jsfydSa+7fV64xLeZr0eToDbrNzD6UPH6HPb1LlNAtxuOVO9rvZN6e8Taw9p79K+T3tG+wTqdZWpQH3YR0ljtJHE9Y1+cuwkrghKDwqMly5krO/6EMoG4h3KJEl9uDrCP4RHwzBwSX20imgskia948rAUeKtjLbpQFoStYkxlNhpCDdtIDGHCJwywKHAWCHrl4hu6AR68KIwGAgmwmKE3Gk5tfrpes22PUM3KPzTXTuo+Cbco/3pOJ5GVy9m+pXAdnW8D4+t0m693qUkdCqeV3FC+pCwLc8m1kK6fxTeGXRoZ0AJG0yHnu/9heTE4I8yyikROjBS9G5idSYmg2o1mJzo2DOVSlRxPRIEftflnHF4EH5wwN2uHwTEc+GByiYXghNqIaaJRWseyHOVyE935+O4N0/IfK9eE/Mgpy9peZw9AXL4euYTVJhQ1QvtWnkGxOAs43ICdLQx/isZEyTLLoMy5BOCL+lPoq7tBb+OJXfM34SONqHrE2n3WjH0OXwIeK8vh+1ep1rt9Nrhk1zfQiX7ls5flho9YDozfZ6c+kwHCjahu/oE2hJh13qdYoROSmco+Z1q6kyY2R02JV7ZUhZ3vmTF1yt8AwcZuppC6OuUoFef31TugIbx/cr7j0nnv87LaAh2DTcPK22SgZeVQyf09U6hRyrT/33ffvoPxldUx9dQb6s+zug8wqsRvBNhxUTGa6+XmvqO8h2Fe/DlPLYc6l7R9hUR1B7Wviu1pT+o/NIIoY9xa2UoT6NNZCyasvvnXivSnN6IsZ/qjuehmnxd95Ezc13Wh7zJaRgy9WFcs3HlCk4AT8jy4+blokkoooZPoaL7rxjzuaMHcl3JpeaqWsJhG0gJV64yBTBETylo45W80XzNMa+Z9vXrNuyc/+/aiqKabOwSbRIdJuTSGwzIt9VWHmNISFnmlKgpQV57izHZ/q/J49wOvglyWltb1rbz2HWFpFYqKRZzj2lfsmdx4RJRfRw387J/d9Le/vrC+yj3SLqcil+PyZ7eyTr+29K6hU0oqzer3NTmV3s5tyUZlywHh65Zjt3ZKTxy56QJu7TTnzvwqlKIG3dmO5nhO8cwH1R+2toiyH337slRcuNGFY8B3ZVP+kUWXJq5fnPWbrPzhRl0sXmieDyVaWdZAUYAlSA8dXlNFWQtB6Irl2FKehnfs78MJZ6xvzYaHFqE+JAi/F6ady5L8gs8yzcvH+0rQJpz1SjiQ/J/szaxfmsnfem8nrqxZzk56NoNG8QB+Vm75fyMd71DMpQd7RAju2/cKEv6eJ48ranNS1Tm8X5+aD5WyNhCSinVswdmhpOz+2glQQCKnMkBQlKLlWh1XI4+hzSmvO0pYFQ/B8Q8tMVx/WrUakUK7KilzAqoN4HIhVfx7nl87nze2O4DwXQwiTBhDL1KW9j23KAR4A2VVz2fVxS+6tYYJ4Tqx33+DOP2aOWTydoLtUm5kf400scB+OlNbOybMFwzZmFWYPMiluJKNEnIZPS5AnrxEegRmziybtHjcGjhoS3JyVNfQ7TlHGmntTdo311ad5YmmrlXwDLa1g3Ta2m+5bXUaiwW2Wr3MDsY9MRwm44wahBaKKJ2YNimybBVda45VSxHfhDhhuvXYATLDiy1VPPHarf5g9SkIvCF8LY9IfxAUPOb+OzdrNassbuLQ3WO9ZbekrWn1pjUb3POdXTyYZMT0wQp4cNEd1xN30eLbyMlXkuJX2vpUruSb2p/LO0cunJUqaFcuJGFr5JuP+qgQpfR0R5bo4z+owxQoCTPV+KQO2itZ9k7rX7LtayJmZkJy3KhGTJH2I12wxYOC844AfPiiF3AnFxgleextX7Sm+nCsxPdGe9q4O5Su9UKglbLprvo6/P/S/4+j/n7/N/d/LWxUtu3lD9d6jNYnr+//5pymNwKIOY+yLscOTEzuL3ox1Vu2zDymc7O5KDlmpjtCcv0Vtwqs6GgUw0HClp9SDdcHLQmOohrR/UxSLxOZwwST0dgOZDW5diKg+qrplJo6A3JHDdnQwleF7iUihy8LgwtajoSgFBQ6gYSuy6cbUp2t5HOntImWdI6yGl9l/YmGCWf1n5A+9HXTvXccnnMJFmiyqDLC0K0S7kKGKoxrm8MQaP8oVdTCUjO84x5OMtVqHmB641uVxYZZQWdA9OoJE/dqMN84SERK3SoXnzVvQnqQQm0iDOSf62n8+5yFyb6eLrOF5WJ8/EiTxHPXip8pmR/tCQ2hDbKzFSGVaQwooVgYMp1BISRFSCb7IyEgMzc1aJSF2whuk2pE/ZJitktxgrzyXTOLZVI8SHaPydB6m9X4Oys7zt4vuzvp36byn3vIZWphxSAeFpGmH8C7Z/n381Qb4b7Dg78yLP7EytsrZaAb4rQH2WUmRqV/Xf3eGhGIDtC3XzFNKa5Y379uTTcHSoifsTk0xx+cOBsFjWb5x/T8ZWf8D6f2gNS5l0M2H0mS0D/+ljKr/wtMaa/Mn21QL/aGc9B9CPT0wXPehTSHqQ9tMxvKUvVPcLnKoZ8RU2FsqpLZ+5CrVYh62Udm4xEKC2dXJ1nJxjIEBjag9CbHBPNdXDzInJhLd2A6jD0Fp5MMXnCbLVazN+R2lEtplZ5uS1UKhfMafdr7x7jd5eJZGXbhS/0QZqYG5dbWfYdxMP0DixRlJbHMV+4ATFacCGOAxnoUB18OS3dW9PSvi6FlzqULMCY11hzpsnk0lt+KElSquesfQ1RQdXb09bSEVQet0rZ25vzQ7Iw5VQ1p5TWorYCsuJIu0M7pd2t3aftaA+8ihaGNqwS0qcXo02r6MV3EDjO93Anges3amJRtBtF0dNRdFlt5O7wlrUShpvwfNQPd8IwxKMI9mFmnwtlYmOoLR0oE3L+sYqJKQ7ZD26R4jkeQEWZj6U0wV422IGc75b+vnx47Xyz1IrSg39dhX8zuOnmRz98eCW2xlpQdpjHTZd1e/erqMkb9JlX1ScOr7nDG3/hq4YID8N6Uh/G6F4X57rGJMbMb5P1q3M8rLeTWtWfWBwuTkwsNmGCX+mSpaTRmrPN4AebeHG42CRzeHm6Ucw/R1O5fxFt0SVawKKqN1FGEBjUpE2w9MdaRG+AF+KZWm0m3gxrtXBTHi+gb9P7IemnZWJyd116O3nzS/PebuH9tDOxNDGxtIqbYr46KueRFvZy6e+VpdaLy/m4WHwbdtJXawETfzn9HmyuFgmV5yhLekRoo421wTBFZxxHSKCZp9nVKNpJut1ktyhWbWJxgjQVaS9ObE8AJxMVyURF4uPlqWptxPVVgzUIx8oQbGNMWXxZprVj8NOo1DzNv5jWIGxegGRMB/gl+1iZYjxvF2iD3gXu6ORBVEuRCphqIiCaynasuEwgQVrVKh/nq3JR54raAYM3aLU+FcFucrJpw78LUs9wpfzUZamQlkrkp+E50oI/A94jcGI1Jhs2XIgKzXWhSwTK2DLKx1Aix6a2BFAtIjM1HyaQq22atryCbkjJNhmOFPnkA//9MeRgjznO6QQbfDch8UxMoNZm4njGNug8Tl/z1DgmjdavxXhD3b5Un46r89UngMbjtXnNtGG2si24P1c4A2qZ78ZRsiL5jXeh53tSl3bVol+hcQ1DpQ9GiTDqhWH7MvHJYFTfputQvhUyggcTMcBBZpCMsfbJsEPiRMQ+W+Gn2DCKFgybmHz1uNeM3bAN/ClfDQ1C9ZOGb7Q539ZtXg1XvWbNpfNdMV+Zqpv68VVDfD812QjVWhvskxijisPPtizLMImuE9OwyFJ0QhirqzA0JZWgVeH1TnA8BFlC3+a8DV9Hy1MjPM540PCEmBfded2Mp/zVVW4S2/gsgy8Dzz4CWW7vpy1MUGE2Qfs8qr1e+5T2y6hNXFMuwEkav0vawSZK8EyjfBjSUla6sK73FRxHX4X1yKN3DfqjNBaHlFl7xkDa18qVbLwgjJ70PDZEm4IsW5OOxxIUamOQilgbo+N9vCYNlUf9dIXcl+7sq3gjphZ3wtmnZkPHAFkV8fAJMyjQ3XCBxfPcSa9mU1NnvuAUl605QdNgyoxGxcUIx3pjiul2ONFoJxJ6rjPvOYQaHB3/MS6H7oBoZhi2rtvE4iAcu3Wv6bg+3GtNI/Rgp6lj1A3TgUz8PqVm0HtHLzB1PTt4Bb7AgMFCValleA58SgQWYdxgrB07ljCF74QTiG/nha7LEJeq4jNXJ7rlcSew4AbkPyKwczmhnOimELoTg6wE1yiC9etoge57VHfQZb9qNkLbN4RnuqGPFopBWLEchzHTbBP4ummih1C61zKfIKx/jNi0CFzUtnYv9JhHtLchVxtJU4wpMson4QSmU/QBSQaLJPULWiQ44w6jEp+bxANcbe3JMPfrokJSjVt2kNu6J9k48j5hnBTmnFwamzPFSUO85UkW7NQmPxGwJydr+ZKzvnIEGnsY6PoRS8m8/1SppH9Sca6XUzeXJdbWPfMpZwsHlS3nKdPT2+zXO7uTtZXdzutrk9AaFUbt0CNzc8QbPiH5X9NId1smGr87zdQtxsn7SQzzxAA4zdcB3/8W7R3ae7UPaj+AVklydFHxizLeZKSs84FCCL47WAeaJet9Ze4v7fcLug6QB11NcDfaGA7K4L23QL3vMsR5ScDJ2nO1SVPogbsTsLkd4HHOs+Apwu+k7DyjdxqRJHB0Bul3BijJcro+fSNqLjBJzt9FdcLvAil/4n43uHw5cO9vGu/gDFpWm/F3cEVrYzhHyByQ9aKi8O4NCatlfuVNcgRo280xgHDV+93SGkiONmV2dtAvgxiLvbr63HsiQ9bNdQCDDDtNymGxwsLKEBx/r3WkFXd8X5LQ9zvvyElzMQ/8/myqx/Xxt5vqq5Wzwru5vrWl8/MS54XMCMFDs1X9AlLsC9WWGdYVNfqB28cv9d3gqqKEqfzVTHXmKK+LZ3W+CWPGZgohPEajRYkid057q/ZOaHs/KP2N5Wg9lbsJ4jg6Ophy+6iTNqI4c74CyXpwgIGAKNjwzIggr4J3N/vNcMq2SdV9DpqcbU89vYeYHy0TLm1V8tj5RxKsJ5RkKy2LnMmpTwKgZcBr7heQff+CW4O5cB91//0YLffQ9TlJxU1FTAu/IqvgKVUjacxG7NtdaHcXtfdoH4Ae/XH00cmwivbTMUcpwmhYHYSdwrkJJi2c4O5AMI07SD0ZKkwc4C+Q9D1gLIbSNGUgHX6MUQ8DWsloVgpwRDnVpRWzPtxXVwOJgRT1hkFNUrYWDHuRRNCdWHQ8QtDvhEY6XbRNChMiNe1FqkcU5giDEM9ZXF3QP6Ev4HUDnviunwReYOHYAjAE35t1UkWTN6qdcsUlEkYpIg5rBp9Bin8maDKHRPDMjkEjx55vuMHERNBqCUpFqxW06hVvYt52ImpcDuu9XhxRIehFosPn4af/+Bh2wp6dtq8+ntQuaVe0Xe0Xbrk+pGOUcgOGwTansIHgRZ3US3PQhz7TG68vsb8OEtkh0i6yoWILlF5ZXxv16vFguL7RV4HRkkNraOaE5boWKeoirzGCN070CfnZsZoj7xmvFOgSpfO35tVIsVKNoi4Pr65Nl/r2Zyyf+a164DZUFeVVWG/BDesztk/dPzINVZuRNV471nh1bWLFyireyWs39xVcSn2112GsKkcoyZVgY5J8r2yYVE9tUtD+EVlD/OsPNhC2FuHQgG982Ix7jR7w0R7x3lIPLvv1LbRIgf1mao6Eo4wJxYs7Qp+u17tcdOqRk2z5lg8c2q82Ll5sVPr9HXxrs+5fRqOWrbq/64grpk0c84pwvmSJwLSEHdZMWxhh3K7Vkirnha1CINvosnaHxEnPMl8G7lD+wNnKo9K6HABen8QZWP1qfQXzbdWDp4M6LjmadzlmH0a3VEE3VOS/M51Qpd+i6VxFefSqY0bCkQhuZYuD7MjKL2mZT2Ig/eBQh4kRah9JEcEPzqFyqG8jOskoNSjPK07ZYCljA5gw6rFfEGEFJ5EnD879mbGCniFYUucu0/ldKpWZ9Nde+LLBLmEhLuGSR3Zk5SdX9xXdEX3yHNoZPUeiKMp9yptaBDWljdYGUhSNJcCTNCdS02Qao7APnVDCrpFpGlcuVGL66fajbdcwXLX7S0pV+AlKfxuDKv6BA3IE16F2YODak9ZcnsYKSZMVqR3uKUljeDRLZTpN9l+2iCMuCIe0gpWNlZfTVH47TbX7nDAJMQXsTCWjpzxpRzuSadajOBXSRZZ2EUhTwhRIkHLVHJMaIgav9TEWaQyiMFbtWn9QDjv6gsTSswNS9z/o10kgEWXOSDDJJ3bkBN2ybYtYtvX9OoirIKvZ/KSqZBKgdePv+bVa5ffRulEuq8sliTOfg07E5QbmfGZw9jmdw8ihAnjK9QojL5ulLUjtwxtlXGkFrI5BQdcz0M9UZZMoR/hTyqBExmJSBjEJtEfU4kjbmBHUPbBAMNSsbfTK7ftZKMoOf1SW7KAyTwWO+UHTCZYZlBDEZ1wXgFLbxlJaWvT/gtK1VDnTkvu/hyX/irBt8ZVQlpXAVpeOY4oIOh8rt9IjmjB25uhkUDaRb1DXiw7D2WbwGWazTRAoaR+lyg5Ir+f75+G0g2Ttwykj87r+sG6f1O1t3VpZsfRtWz+J8RtpKa07bi21HtB8hOAiHaI2ow28snHzXDwB8uZgQDDIO2xo59c6lBtk7rDc8RMnbH6nxU+e5NadXPrsSwzlpQwTdq+KW4xbg0KNj58T89/5cezj5mcFX0NstjUu3o+HQm7IkrqLm3+D134aNw+CiK0/iEdajimO9tNalCLFVUivi8B6V6jt2vRjOnPMV14xHRDlfQ7//kQgOy9yvG4VG1mL1kR8B9Bthe75zKfIxxAb72O1fZ8DpuF/J5T8iV3+bOm7Epc1WkPdVN2Hr/UG/VOoJkV9TZsMu6vbZPBz+Gn8/iuv7E2F0CwV8icE46HuTUnLcUqWYEa/EzXzKUJHCiIo0cziRLpjpNpKdN84RST4mYId7Ce42g67OuJ+GivSsIYEic3jKd/2PX+S8xlGKWfXoL1QNsP5JFy1/amY20lAaFDlTd/+F36TVwNGethx/AqLptqJzRpwtGBQ1oT2pqMPdpNRY4FV/Aazk/ZUxCpdNtEJ2fQ0CzsT7Ihcm9xTpvd+G0o1qCnNVzp/+ijrgyDQQ297Oa2mwW1vs/T/I2EeKj91wxRNSt0rLqVNYRo6qkQ9Rm6TOucq3npvquJw/bhhU0EsiwhqG8d1w65M9da9So6J0gSOfV2iDWYBYEYzCIOZrn2kYGZtOpIweSnuJPLWa8tElGFSd9MwMEsT9XihG3Y3z2yiEUJzeaNRPp88tlnoep+td+rw+6Sr281B3N2cnt6UgFWTKy0K1yb7cK0LP+mrdqw1laqbF2Zq+br0S1LztYYteqTYUuhCijGV2ezJLY4lMHVu7DcfS4cgqdaJ2+RFnUcVs2UELqqlL0LmTOcF458oAfXzSvRt+DqnLcoju3od2Yeeac/DvBHH8g+YGcThLpuNcX1epz12ltjlNQXUy9+p3as9mHOfSZzhwQzHwSDGBHgVrWU9Vx8N87BpFZI7gJypTWJ8S7RqfxoN3A3Tnqw9L/VHFXN5bdmsRKown1G7C8h+Sc6bLE3Wrjowy8qJc0oiQhk152ptchNvv8FyiBDEsd6mdB1q2yfqkOQxohRm8hSM9iOY+9+d23IAD5UrdIr8ZgbtKvRMajkRQ0G3yijahZ1gr2QxWLb3HIAo17uoqJ5qeC7lJbuYlx3osHtstLIphTzbNHIyAVew4laVIoRU3YuSOMROtRFOVsrdEh3eYDrRG4R4CIW1vXQTkfPlwL0qrV3dILcJRZ+IjVRTiyukyXDjwJZbIct0BAVM0CMMHhrlbFNt1JZayazl7m/XkKwblJuyU42rNvB6DR7WqvwpYHv0qzp/wa7yrDlfHWvl31AkaJWatx3axA4dVrFMkLKAKvwfSKnECOAkbeRP7LWXzOf+BZBSfgHagYR/PIWxY4utRONSroLZdpkkt/zkSHrdzfQ3FByK3A1RbVBhg4oCWVJmXqjR2cCQyStEhasd4WdlVPKBBFaF/4QIvQvCdTWMbDsKqyBgd7lFeRcvwGW8AJe7OqO3/OTQFJbDpLObEMKEMaLVGw1qlkntILIsYdSqMsDcSiOocCYc9OaJGGVCr+CRawG7Rd3K9PF2IxT2vZC0p+NqgpltPWo41INvc2B30q1HzBnGiFe6BFuPCvmkWfoAXPtI6PgWRqA1XTuoTVXmao2aVU9qLtOtyRZ6OFW8OOh6MI9QiwrBUHkAU4rQXbPqVOJgxpss2UTJGHHz2h6/kGGq6ZSqzUUiUXNPorZzm6j5VNnqXufCMB1CmB641438eEUx6/9WnnhPFzfS41LsARdG15N7Uh8N23QqX4s9iauxQ1zoRNUfDLfIJUCPwvazLnVSpRx9HeVdYCZfkjvz+nUv0GGOdkx4+bqbH6cZ/CrGYb6k3riEIoR87unSO+o4ncNq0tc00GqIcxaBiBePhqN14AIFArWJXjwcwN/r109vHHl7/chi/9gvT8fxHXFMljb+p42Nt+3+2GK///n+6dOn85hItrTjk5wKLvAZAv/QmTRZJgOjnqBlQz1B/G/gLdHeZFC/uHGkH9dCrxrWRFTzF+aqfO7uxHVqvteKTdPgRqcWzNdMsRhNTizMHzG9yKRu3dF9UevXaHcqXqmASFyfgXKFDa9CJjO7B+2Ptb/WMJKmxOBDbD8E3ZMjWZytScfrylLg0+2ZicivtZsPDqY9v+q3pqthtbo51QgnKKGJH0/85j9xE++BjUqzkrc1Q/uPMravNkpB7pRFTU/A5+NfaFxoNC78/eTIPN384tmzXzx37oudZGo3xwfW/hzeHYy/m4VzEQdgEv5E8kij8ci56lQVWLW7Lp075nOzvdpOv/1R4kVBxXaEs+PHZFS1PD+ebNdJntdZmd7xPenJwkPV9KSCRupDMUWJrDXcThuwSvmxCKP/1UiddNZ7xHMqLsxK7dUWXAgnw7ASpjk5V21FpGJHE1MJjB5APMet1iaaoV0JmtXc3kv7GtRNjHiMqNboAc+sQvkMR8t0d4pYPr2P2hYhU9TEQ2AOHvwhi1Ncv+Tih0yD2DYcZTFStP8b6nkOZ/qk15c0TCQ6WKLijqp5vrfejXuIPv9hPknnNmdJQuuzyUK7TxPaHGB8tCvEuMud+x3LECIB5tcPq5+eavjVcCLQ9TB0a812Ps4ANf9aWlppo17qK9pT3GkCXeedyeCeQdI81vz4c8/91TPtfr/9zN+rT07Wn4pyHWBb+w9Sz9nDHjOGRF/Eg9vO4q8gqzXII8IdCe8Kk+1k+2xzvfkrJJ5cnqAx8Zt+L5mYiCZjJ/C8mWi0tvbFL/7sm950ufpErZGEtlvxKvFsPXThvoonYkieYCXll3B1chVxEvIoE/mBwL47kJ7i/UHO/I2k0CLq8BtsJGrlyFisTkz0JiZ+N5yYmG00TiVzDtBto+sHLtlWt+4PfTswA4/6wUu1oLLUJO7C6z8yMQsvTFzEB3oTn+fQ8fXpo4IFtSPqzh3J1omJ0G5sNtwfJnackMhnfS3T+R+VdtzT2jHttHZOe5v2NK5uoTNHEittlgqMluuNFVBQggr/Egzi3vgsexcIkz0rWfvcYzP/T7mwszrqbwKrAuwJMq/i6hb6PG6ZiqWDjTpHJeRWjkEpT3fSK5t+/arc1v3NoP5O6SDpIhZ0RE12Kf0ubp7LvguffK50/Uvp21v4IfyGPJ9LP5i6Yson5tE1tCM9dSMmh85sLaWZ6k1OSbp+r/bsfgTLEtmkzdxeshXI26lXQgHLLS+IPR88SfaZxGbz6OVCNf0ElqAfxKQezKlDKEzMTAa8i6O7uSdphGYy6nS+rNh+Yt9GBsmWesYV+BySBTa7xeG9jIW6Q5krnRi/BGdoIqPOgvzdS6lh7E+rCbmg5ZKca0MZ/w2l3h1E3BllgVxS03dssTP9bQrlHY0jA5ROkrFIP0UU1dLVM1GrNZicvCatvMhkFEmTrcnlwlbramHa9WThKPwptypxMKvpU2E7Ss29rqLxF9qAPZcagn29eOZfFB94c5FCGglmrkhIK+L4NqVdW0aJ8/tbVR7e9tZbRw7MmkeWLbWXy2g5ttK9fOM2sKMszBrKEr9oEZ9N0ICsOzysmv9CWZidzw30SV7nWYxi5ACR4ZHmT2kcBYXmH/eGqcoDpO9e5nRCoT5H60bpQfVSbwY9IralCciuzgen+0TXKWO6UWn7nDMKJ9ywHMuy405sW5YMpuzEjgESo5He55VOxUAUDV0n/dMDDHij23T2RI8ynVAdzXx0VObpzKBPU6dWqdRcIsPk2AIYeM98mhqMoy5QmQQRAnJB78QstXWe+0kuSUuD79M+8h2kAIZJAMEdo4fCbk3FRpAmZHC6TL5tBEoGmyLoh8iMh/OhYSWJZdwVwIvVflVsfjvJNy9WZyyrXm+9wbZrtZkwnKm9PmrFiWXNrGa8x8vaSzKuN0YZQjU6WiCqaCRoj4gK9/JazMuG/g/mcWzfRP9Sk7N5kJ2fV2Y7QKAFDIO0mXmTLvAHCu8ArRTrdKKE9LxvAbYe7Pp1HCiDnwvqc1ns0zl5CoNnPcj5Pql/Ai50bn0Ql+N6rot4XbK/qSbiuIovKqMUoOw9RcjEMyuUjijbJGTlmaOMbFK2svzMM8twlY0ofesnXrcxSRiZpnQadpMbr/sEIZMjDPhC2WlKWpP3vW6yRSi9i5Eu7EaappXi05rpaFTwPyKJBcbjWB+trcaJtMEerI/QbFxaR9dHZR3kWMjqXdN1A9c9d9JgBg+MgMP+JNWJTn8Vt28t8D1/pYi79r+5VRd+k8bKBWhFjO1QugMytM4urBi6ocPv3QWIaCmgG7YJuealyqBFeSAzjM+CNSZtMNVaFqKyIKONuqvUj+muC9Ad9L/GZXj2sAkyOYmJCX8goFskjaz9iJnaEhDzzDO6Qbn+bh1+nBr6M2m9inTtCVve3uE67dF1tWbWf8Gv45x6CTcXuyvT+O06mUDWJ5Dz+sWgriymZYB0v17G+O6hf/+tpLKXDzkw1X+GS75ST3ej9C87JkLN4kYrxzOJgN4ntYek7c/f0z6u/XSmTzXKE1WvNIWprEmvP3mhPg5I0i3KJN/BnG8MsmDRM3L5MVtqz46z6+O8aOleS+cGOkpKq6hnDX0T/SIN6YT/ZV3t1UXS1rPHNuGd/yO1PEsX3eey09yJbxMt/ky5hJl/wzTssY/8jtrl6ZcSf3afN9LNNqkOW45/DoyA2BZOSd7htgi0eYsFffHVZzjTSTW1lvQ4zit9o4gBnlt9HhD+A9rBCCYOCbuO7RXlBP6jxWBt8gVkbd8PTCs2UKXJwxYOR79E6Zbke38Jr/7SPL5R0pOBBI401MoGeWKYtca1jU3sAddw83zuK/iC4nNWlIGXVvhe4LcackYqf20PCnV+o3AN/EaaBGw2c0Sfz6rPW4rpOllHALF6OlZrL0l/UQ8k1m4J67+Xeznt6fWXJFLoE+gu9TA68EEX5rpa4tq5C92ndrj+PJLueWkvqdrX9VIaS7eSihjmqwKlBHdMELV3MDbsE08oBNVyuo75WVzy/5xwws9JI8bxulHxMlPfrG6ezniTsaTRqIw68l9eBB6HvkgpfYHrGGUINy1GQ7wcYszXNAa1jFEvfUZTKPD06xKhf6+TlMm7iPxuANWmDfOX8pZ9HU/PId3OoVfnZuHMmeHkYzqH+owelHISd9fP5z3nl8ZT/spXpl/525LL6OZ4+tH0uXN5+V6GVp15EorxdNZLNBSpARJI6UVK0A7KjrGNcioN07kohwMihYC8nOjTNJCoMwf5xh6YgxiYNSjuaGO96ArPj+fj2jUORZ7mu9IVV6Z4cX+Gogbsz53rcnN//1g8vOVKw1OZUWlkekBPMQJfrk35gbGvvzzu2ElDeuFNJYntPK6nOEhjaW+9utSRJmhp2UMWZTTeiczItkUiLESQh66k17yIuDVO9nSnhyrulB8Ztm1E/pRbeTN0rDeboh3V61FbmJL/lHHGF2SkWGWoIpEQURkkJWeJio8r9knm3A+ChnIvyW3ysjpGZaWycunP/PQUoazGec20LEf344DZtu/FhkW8QI9bdRZUTDHpuKSCnXEFNxi9r1tjlEwRg/QXKf8RRi1WsTgLa55XCxmvNLjFHKE3WmHUSvSq8PTAqLlUvQ9Mr3D06IOcLtKxcRjHjd7+tjgHnTnlLnpdnP+6690jiMQoh41XXsmDF/0HnUfEgM7GaIT3I8pa6WgCQs5OLsMjz4yYYSvaae1B7V3AAWkyAKBAM0uMaZnKILiKrEyrhjmyXr6yvEzyXEpJZm/Q1DlJfuT+y1mHnrNrNWvUrXQ6FZfWmt+NiJMswZJ8DjcJQ9eYP2IINdmSF15k6X04feW/WOJl08Ne9MrfQhcixjUrnAprcVyDXUs+A/JBAz4JX2jIE7j0IUqJvKcuMvUA/adEOGSG4lJUClR27VpGIzFGo++Ra9EbbZqSiJaktJxCqI+MM8kNKNRP1+eHypu9oJBSXK4Pjksw+npS5m2gp40T6GSR6/NF4egPy62kUOOT5bJ+idjiquliXAUsVHjteZtU29W4VothRzbTlySdC8L+qtoryTdJH4Aq+FMT3iZoY/kyfvDll19O22uP9KRGrJ/HPvMp9qsRrgkkKOzjmphIJbLYJ79PTQZC0axPbfN3TlBHbNM7OTn+eU78/+HtcvH4AUKmQXZiJp3dFg498T8Lm/qRT/jnjxN+5/sfwNVh8+20kP2aJCjwnPZGtU4OjiB+ANTZ5rWcfUnR6oBnk87BezYv1gOlig3qkZPras8osMM/zaJ8ZXlbyvWvqQ3jAXnLetPe++Om7r2DcnjtgGsYWDfTG0cl1fJuqjaGy2FJy5zJ9StExqCaQxc91Nb0ZsQAV6+URRMc9AwBJ2SJ3nFysRk2Kr5eqyxN+T0TRjnX6hOWuHZ9e+VPl974wLG3HKuEgybRh5ve8h0BHLyeklyvlK1XLMpRTq3u5Cq/PWrTTDyHwX0X3UOngfLKyODHC2H6eskxVDGbW8qIICoE9YUxN9EcY1LFtJyBGtq8UTz2Ip9lNUHuX3RwePaFNMOPFdlL7UsOjtae5r1fim65F3sCaPcJ7ee0z2hf0H4tiwtVlxOc9HOQGKBSW1AhhWRqyCkRs5zG2q7XVJBbNXqnMq2h1ArwAamNQlLID/cLYVa+ggSAT8jA3dtEflrKQgmuQ0q1ReZMUaw0YRq4FrZrOoZFPd2v6LrHdFOvC9/URaITzpvYHpucEz1B1ZbN63CfIfibbcHOMoASe17mNkLT3ehtHY0g5MvLivI7qR1OasL0LmmjA39L2dtCN32x92WVMrNsRKC7QdKll/flu/z2WKkvmso46KjK0puVf9RmXvWlus+8Dj+e6SmkRmgZ2JLCTlFNvbIRKMzPbeWcqKakbRXoRrk9ywB2CkpFWTeuZcolbBBFhe5zOyxXqOUHHPklAVO4z5lwzRgJEpuuYNznjs/hvm9BYeST3Hf4/seASOljbVVPW4oKUUaToprSN2BeErbNbuHb+7MAFZI/tof671JGaVkotnSeO6b9URqtC23RxHBZErVwzVfYz4o6eQC4y7b1xoBPHF2qW7ON58LCD7+VuuHjcswnKw0rWBlUwoXldgbbrFz7I7UElK9Xv6T9pxSrYK3vF1bQSV36ZYiBxIMYtclVRz+6iALH4lHd2XRdz7Jtu+K610EO6BkMpFjguo2dasetWI1mw6q4nYz/TNOYVNY3e1MZjJRz73A1OTS94fQ01ef67HsPS/fdze+boJutsdRT3SCkHWrLiCKFg9JK4V8yUoBcexHv0xXJj3KbL6Exvr60xH+MKbha1u7g4h4cU0fvtJn5Z9TYlRnRdxhk5AjLgEnxcTzGhVk41rQC0xLz05Lzwv4cQeeSftCQhVvNmwl8zdwcY9M/c4uZbDfpJp347kOzmtlhYD4PyuNXy6nv+Xauq0jfb92klF89sCQHZjid500iUh3fhrTcQ7QSiW4xOOx4f/ovJo1G4tXieuRVw7DqVYKgUnE9TzYuq1HO01xy4vSJpBKtbQ3h4aPHjlY9f+7InO+5nZmssX1sPw34WF5nIa+nD8/tWD8b3KCDHJRvJ8017LZK+bZXpxU1DyvAG8p95cQBnakULzKSSFua8i5f72VhItcRsS7OJeA483wGpmu9Kg2WqoheZq6sSASOlRXTeXYFedwVqZTcUWukO+hALoNvRo4TxuoArYI3y7JnrgNDW9WGjLKI2UDnsJr0tVJ5A06qx3sS4qE/6MWKDV5vuQE6fIk24oZfCtyXSfAUNbxVz6BPSfQeIqrunMFs6SqnG3Po5+6YYWg6T0tYn5Jtel1ad2coQtJUbEzEyjjv3sxAejwDterBN6WQjGq/67XJCLY6/xuQe8zr103nZYkCPifVfpO1n/opSJDrn+2bTt/JdWbkiFbTmrLUINLFezj6kSy4vxeB+995MZHeyVDAwLn/E4L/q1zgIH1W9RJpA4zWwAEB9oYMpf2t3BTjlcJCRG8wbZ8YLpS583YJdwDNEFQrwED1cpEjY3aB8UUNbgsH9Tmdr3thWCNRGHqPemElYugZw6JK6K0WkDoSs1dqlfXd0OsFS8cXgx66sPW8bsR5yHnUheNwt4yRk2K7av9Z2vf+APC03xEL3+/Ek98JQ9/vxJN/AfI7mvsCS5xtPeCbaKV0AbbQBNZu2dx3XWekMm5CXDn0yVs0Ni5h69WlvLwp27H0toaWenzMB2eUe8Wnlv85VEEG85Bk0uQPUL2vU14RjFHOLiIGCquI1MT8idyI6ml0QInjdyoMjMcZ45ZODKHrwiAWf6tiBs9KmR/GR9i2lPfJilpXKuRJ7TrMIYjS8Lo9WHSLGH9zvBzQGw/yfc7t8QsLmoz/TuMuPKobplUqEDdc/dHU+fk6WqVdUhk+isLndHxZLYddS63FuG7wrGwgjPC6v4N6AHR93hJOK+W7Ayxe3dczjHajNKbPaEvaWeixj5clZkSTNjqkhqbZiwStDaVO1qgl+dEALaV9WdbRBtpz99EK5A4MZQMDzwi9M6WUkRX3DyeONBpHjh9pVCs6haaEVu2VEbUQ88cWp6hp6kRY4t/XQh2jydAGY8wP9M7qFLW3ZturU4/4FdO13mC5Juym4hQmrNoG/qnKXMIf1ykzTUNYLDs4Vpv1GI8JraB7vutOLjZasxMLumlZCJ0ElQ1fsvIxdxFaLM65aCOkSlFLxAjj8UgzZYEs4WiAIF/D1TZFI7DRMpGuAipGq/Io21ChWmfEcbiBPmRxXRq7j1YRPfVb8Whq/t75WvxAtw/75KMzU3zZZdHM5szE0V5Eulu92GQIz8tpkKC9riH9+DDwkmnonHGhc8uJ61biGQEnVCdanMzfc653fxzO3zPfHv0vVeYt8/a9W92od3Siu9V93KHUsHCYiX1oZwZl0FJaQGSDm0kF2o3n1C1dUMe1Gc34yD/SrqS+1jkkwnGc76WHtciuScPKrzGiN080dcKoYPGxmAk6B0lYNQu2HjPZUwwEZpCdYUwC6YywOXiCc3jYQ+tGJav8V+0azHez2mqaoiEBfaUX0Kq4aRb+H0hp6T1LjHDBBhcHTAxulqefgjxNEQShJ3RigvZvmMVUfzxL3DT274q2JX3ttVFf+g2gTglbRSJxKzDfo2RUl/i4g76QR9AcgDk6hQOHhFgTUsUzkwJb5LaY/bXRVyea/de1oaJZ6/RMWO2tq3K1Z++thIE8DO+pQi9RZbsHuFF8NngsLZkny/kY2pD+AW7+wkjq1IJi1mI2MyULHHHhC1seOkeqUHRZ7scqpiMfdD+kCu4hEX4dRZs/wE2uo52Fcb2mzUkaaHMbawNpn54SAXp8fSOvnVuvQtQTt+/byQp+7+lJJvqvulp/EwpTT/ICxzUKLJfJpqZuraKJ5GEQuxBj9awOk7iGkZppR1p19QbAeFF5UQZuRma3Ii3m4B6wZCO8BT1f4ZMMRzKsV/aGQIuwkUQCRPbtn01MEGbozJzq0REccE5gYKWey+7mtl4NmnHQbJnccHRyN2HCoubkBG0bLbQ92oBeL3itDqMcjA8vEw4jqTe6j/xDED/RiA3DcBHb/LRl92Y3ZvujO2IXrhlo3gb/ayfW7/RGTnoFXjCc+UVcVYSzgv9EG4kpmLffLDl+UZeOnpmytNAhSrue1A10ozBWSG9lzHp6N1YzIT7yDQygADNZao0aXkcGGJj0yU/JkDo4WwVq1Rwmv+/j+m9JS1BD3fF/S+dEtOQ6bGb2ig6lg1aEgaQlxPZ0DJ9xJAITWi0k2eW6LGMWn0mkONCbeQyxfb6Uo0z/ORg3G1JSTh6wY5TjMfBDY4ilXkHTanckhYW5lEUk+psiSFH0smO+gOHMD4wh9kIal0tubWU5yPMQRNHFNCrRpTlkIT67P4KYVorDgOsZC4eulpdtKiQeJBS/G3dT64rSavlvRc1m9Ie4+U++84eOj6jS8uBiYSTwpWb4q2FTbpYc6ECOG/2E4/tOzo8slezb3yBH15uY/O+9P9pjLqGEZMhuXT7ZXc+MXWSWVoqsPZxfnMqs/wPgvV75W4Sfgg4iSsWw82dbpbIVEZL+xjZ3d037umNGEa7HFGVTbe2ItixnuVwNW9LHSsYqw+3KzUz4ejfmQPZNZYjTUrsoBWN5a2F08spf4lIx/n1DsXq62nmqtWwWy147W1vh7mH94H3f/n5ww1hut9UvDojl9lr7x0GR3Ir19aL+1rQ7xixTR4fVYNFwkV7Q/DaGYn2IgHXJOpoo9dKSL4zX6MlyZC5ogyLc2TSdi8854roqljVerWPRuTAy3teu7Nr27hXT1v6O5P/ZJ03nE8/eTv6XJOZGpLWg75zR3qhdKLfR0lG2ygFDQVlBlA0IUoYr7EZGmXc9y66dT0MiTamlX31O5XEnQGvV4EtqFwdXHfNL0HqajnkNRbRrpnNtDB4xw3k6B8+jMXa6e+FyUMdGt2s6OxdxifdiJBvh3KFz0neiL94oVt5t9cVDY+W91h55eKS8QoYtt+vtV9eq424Gp4TU695Ki46wPb8knL9R88LNGvScDFT5v9rmFdmaC1+MDBte+vmKZL3XoSdBQBt+v/z3w+QXf/EXSRi86wPVZ8gzyU/8fPKRvLxL2jFtQ6JrntOekFhYfYXhi0VBsRURp0fHV+tGTyTAg870QTovLmz0QG4fGMkoMUZ1NPLapnx8Fby0SP9/gpRIQGB0LRoebUyfCC0vBhGS+SutmodeHDMVPNcryzX24nx323mivzD4XmIPpmbIK39WrIWL/pk3nenLzc/btmFRWwcBvBKEnUkC3PePnR9RZIDh8EfvsedOBc9N7D7931S+LIz6xKXqiXumS6vwg/Q7/TNamZ6J1NTcIaVHnyQjePUUkZuBUJfG3LQQ6bieiA66rwxEXy4FjGofpbreYr4DO9wwdcz8XpH+zpxTW7uzdl84EYS+35n99SBobP4MM6hl8SrI6hyEMZIdXy4o8JbO1Na0VZ9aOSH4XPT2qOdu1XjJhsKAse2ojFaosjIeiRYDANNkPNP1bTo4pKzfwEydKRKPlu9/YMOOxrPeueeOmf/2kALvqvwZJbov3D0VbT84Wy5GQHsnO4cUvfDlOAZlm5QIJ9qcLFtdrEKzHEk3dBQRMYRPHXOOoZESYfSxMLgZwKXckoQsVf3GiJwPg4no9bWTw5rzAcc0as2m9baK5fi6Th2ftdROHTP9RxSOxYu1GXczNt5qnlhpJWbnROttVrNZM0znA8ZDVQ5SUcAtG5q5PK5yyyL8+QLXNsNmWpGl0CKjTaHvtOkQGtQyFYMN2CRQDcMO8/kKWx+M1k+B8EclgveHy5DfH2KiPlWZF90/srnC70Ys7xwwnNDKVF2wDxXw4x/2p2JTn++Kjx2E+s0LjIWjCmNhbmyYHwsVOj7Qk6Wicfw+Dqmrqzhsr66WjneLyq/vu6mOc1lR2d1s3MjmZnCjaOcHW9zU2YGprrKDDW7+DTuoGHAs22KKPWJonlaDmlQ4aTAK4pC4NhADgSqJAfo41ZL/zmyYG2fPemfPjkzznrNnN+D8vfKEzJrmSN4prqUPpOuPaToBjEhtbQ7t1Yd5oMQ08ihDX6r+jFQHrBAkB1QQkgOqa9c1nzXh11C7aOPkyQ1mhnduMLZxFg/Zxo48KZ7BHalv3AmXL5efSB+XVZSuKQos+ajk7bu3LtArgb3tbTjjvv3tpeP/vO+KOtaKNohjMPaPHBV7LAwR+o8dUvkbq19n+gd19hCDX3rw5QPrHdr/QukhdUAPrnSjrMtYkqgTd+b43sgxydVwrBrp0ibiZDhaH4gbtdKH92Xzifvvf9/993/osHZ6QG7P4Avvu/+ew9tqQU9f2ozvlcNvQMd+zqb8wmH0W8qkW7/+yOGEY6U8SLrt8e4a7ouseSO6EZEHGCZ5Dr94KNEm1LO4+BGVcns4xTIMixfhfyuNsX1YXh45LNkbjB5SXyL7NeLGH9VehysEI9T6Ac81kpBMbQTqhN9ArgMgjNA2QSWgulofoPpwReHbrEpUuRoi39D1wTI1VKCGNumQXl8YvR+a7bhmq1npGkOvVtX12aAy/QO2i4sArFbhXAQTjlHrWzpj5C+pN4hNq+pxz3CNEI22BLP1K/aEX6F2NXR7SdOE4abnEsIQ/tZbnvSnyGrQ6FuiznX93mAG5mC/tuABl8cTW0ycrruxRXVn4S4QbgKTcdecnLZn7TDkVYP8S24xQrkJfKHFKakaMr7pt76l/RXMj4m2Ajzp+7Qflgga20gM5eAIklRcS9r0FPKpcAmNEykun50C7nN9Q6BPJ44RcNen8DBSLv2NhhsjIU0YpRVkRy68rY6G2/AxeCGRvK/UwUubOXwckXvoWv8BjwqDU6Gf4MCqUoKOIo71VQPX2gybL0qPX9vYtmxG3o9YnsyatO0mFA//G3MGgnwSnenM5sATzelojE1plDD4B2VnhLxX51tySQbrps1MAXcsYRnw4Pcx6gumk5jimp5bgbrRCT3vIvmA113UDcEMQXzKDd20uLfjwujMQLbBtSuoZWCrDPsM1jpk7ASabTO2JoQBzDd1MTiGENuGQROddSjCcZrGBvRuqBoB5TGYUfalRV+wo9KeugTlN9jrLpvGp1GXh/BYouZy6YP2K4bt2oYXevUxZ9lZKarNShUuTOGXDYyzYVie92J+tDPuJVvAD/TuXDMcR360hBV1HC1eZOQlaC9qoBZxBW30JWpXb5kN1tWIvU3RGn11JOLRp+hUc9mzK6jNBupW7MqxyUk62XL69YpaPoNrbt+ZbE6+CWZBQnTqR1UzCmkU6VGtwlD5TY1KDc4iGgZONfKBzoScfOvRlHdYSjGWZ+VK9pgx8RinnttjGoPUNTtFWU59s6W5TH/j2dZKq7WyCdk8tisBEeVmlZDX88DhO84jOl9JjTCMZXlAjJ30hc2V1pPd9I3u5mVC3sCdgJ/1/7GhL4P0WX5P07R9+T9+q/kv29PfLL//uIh8frNsPqLE//8XiPpXiwB4nGNgZGBgAOKWdSpJ8fw2Xxm4GXWAIgw1qhsaYPT/n/8fM3oyGgO5HAxMINUANHELlwAAeJxjYGRgYNRhYACR/3/+f8zoycDIgALYFwAAZy8FKAB4nO1Yaw6DIAxm99n97zadOGUhCumDQnmY8KPRaKHt1ycYY8zr/VTa7UH7n1Ae4h/Gl7pGrK/Svs5uO7aOo5DHiouTUrwof3jZVeR/83HRiI27bZr21dp3Uj2afmqPzcwPAJPEmnjHLq41WP3hvqfyUfWtR+2D7I//U2t7+5zSq0S/faukG7Nvrlw/67SKFS6WNfwH2pgwv3D+n7VzEkVYbYb4UveTym9hY3UZ2+0c9p055zBZL/wdndgsB33CM2vAMxhuKTqhc1ClvgrJB79vMjxHxF+ib8l9ETf7cfNrCXbStRL+lv48czvAxuJ+eVKcQToH54iFWHOb43w9lPir1ZzbO3ZQ3aI+oWFXKVb+7B3P3nEvg/610E9lrxV+UnGB4RD4UXCmqYmF9E5Zs5efWLL9xl5PzRiBbE/1p3tn9AF75ZZJJXcahB7aeBb5IsoNLEdyc7tWDe9xf4fFZIrt2bOZIP9gLH7s0EyaeJw92QvUV+O2BvD5X5cthCQKSZGEVPiiKBVFkS4k3RCSSiqV7umqi0pRiJJQShclXVWEIoQQQijatBNCiN3h/IwzxvnGmGO9633nfOYznzn/a6w1voj//9sQUajJtkYkTdjeiLSIzWLWWXvmLO/J3P9rQsQhFdmOiGL9Iw4Ve+iMiMMqs8kRh5dnYos3YpsjjuBzZDG2NuIo+CUy9s91VcTR1kf3iSgJr+SBiGPmRZQaFnFsccb/OBjHHYwoLXcZ6+NHRZyA8glynwi77K6IkzqyTRHlqjDn5XZHnFyP4VDeWXln5WFUcHYK7FNLMdfT8D1tWkQl10pjmbjT5Tgdh8plmL3K4s6Q+wxnZ3ZgdDirG9seUcV+FTzOHszkqEqzqq7V6FGNX3U6VOdTXew5sM4ty8SeK+Y8mhSpsYi2RVsiavCrsT7ifNfzt0VcUJstiaiJT00ca/GttZDhc6EcF+lZbXlqi62j1jryXdyA4VVXPXWnRtRzracv9fGqr976fC/hcwnNLrV3qXwN9KEhPRsui7iM3pfDaaTOxjRqTIcrWjI8rsTjSv1qIr4J3a+C1xRGU/PQzH1zfi30soUcV+N3jTpa8m0J71rz0sr5de6vk6O1mtvQt41a2tKjnfzt6NNePe2dX9854oYSDM8brTuYnQ40vokGN+nnTfZvdn8LjrfI1ZHPrWq9lU6dmkfcZr8z7bvg05U2t8+O6KamO+zdYd1d7u5q66EHPfXkTnl7weuNVx919lHPXdZ9YfWF3w9GP9r3FzMArwHmaiDeg6wHq22IvHfTaKj5Gi7nCPWMUNtIGt0D+x66jVb/GP5j5BnrOhbnseZiHN7j/GbuxelePRvPf7z+T9C3ifhOpOd91Zkck9xP4nM/HR6Qd4r7Kfo91d5UMQ+ZiWlyPSrXDJxnmqGZeMyi15M4PaVXs/XlaT2Zy+bxm+c39wzs+dbzrRdYL7ReJMcieM/iudh6MR2WqO85uM+Z36XWz1s/r+5lfnfL6LMcn+XqW0GDFWpaAW8lLVeZrdX0fMHv/AV7a/RgLW3W4fKimBfxWw/jZTGvwH3VdQO8jeJeM5+v03qT+QAVm52/Le5t/N/B8135ttDofbO8VV8+4rtNrk/N2nZafqG/X6p7J85fA/hGT3c722N/r7p+YD+q82d7+83zb+5/x/GP/RH/lf+gs7/M399ZFKJJFAobopA0YLujkHaOQlYiCvnCKBzSLQrF+BSbF4VDB0fhsPZROLws41e8TxSO4HeE65F8jpwVhaMqs7VRKLE9CiWdlbQ+xrnRLZRyfuzsKBy3Kgql4Zapztwf3zoKJxRF4cSKUShbOwonlYlCOTnK4XTy1CiUL8XWR6HC5Cicwu9UWBX5nSa2EpzTcapcnO2Kwpl4nNU8ClXKR+FsOGeLqwqrKpyqW6JQTXw1e9XFnSP/uWOjcF69KBSJq+Gshpzn43v+/ihcoIaa6qk5IQq1cKsl34XTonBRI6au2vLW3heFOvS7GF7dHVGoR5f6S6JwCcxL7TegQQP+DcQ2hNGQtg3p0PBAFC6j52W4XGZ9Oc6eUYVGODeybkTvxlVYzyh4VhWu1JsmzprwvUpfmsJrxqc5a7EsClfjfE3NKLSkw7XqbUXTVvS4DsfWxZha2nSMQluY7eC0w/V6cTfgeKMabxR/I+4d4N7Ex7OocDO+N6v9Fni3uO+I663wOvHvpBe3qaUzfl30o4uedsGtawdGk9v5dpsRhTtw6u68u9zdD0ahBx494feU505YvWjem09v+H22ReEumH31u586+tHJo6zQ315//RjAdwDMgfIPhDcQ1qD+URjMd7A6BqtpCN2H0PFuvnfr+d04DYU/lN9QHIfiNkzsMLmGixmO5wh8RujfCPEjzc1INYyUZ+TmKIzCZRQNRuF3j76OVvcY92Odj5NjHPx7zdV4czSB5hPlug/eJD2fbL7u/8fgPqBPU8RN5feguh4S+xAuD4udZu8RWjwqdjr/Gc4e0/OZ7h//x9Q+y/0T5sXzrvCkGXyKJh43hdni58j7tJ4+rZ9zYc8bFoVn5HsGt/nqXkCTBc4WqnuR2p6l/WL8lsizRI3PiVmqbs+9wjLr5bCX03YFXivVsgr2KrWvHhWFF/Bcw28trHXqWbc3Ci/aX89eodFG+Tbh+obzN/1G3sJts9ndrCdvu75jpt5x9o64d+Fv0YMt+vIejd4X9779D8z3Vr4fyvuhmj+S8yP8P8blY2cf8/lEvs+cb4f7uWfB5+r4wm/3S5rukHOHWd5ppnfq89c4/Vut3/D/hnbf0me39W7Y/6HFHvOzB6c9NNuDx3c0+E6O783rD36LP2xitNynDz/R7Sf3P7n/Bd/9fH+V43f4B9Tzh1r+dP9fWvyP2fkLt78PRlIoiiRpFEnaJ5JsSST55EgOGRxJsc2RHFYiksO7RVJ8ayRH7IjkyP2RlKgZydH1IinZM5JjqkdSqnMkx3aMxDtjUtpZafGlrcs0YesjOb4ig3sC3xO2RXKiuLLW3iOTk9ZGUm5sJCf3j6Q8v/LwK2yI5BSxpxZjeHhNTSo6r7gvktPsnwarUhW2iuF0Ot6VnZ8h9qyMNWfyVhkWydnynC1nVXmq4VW9LFsWyTkN2N5Izm3N1HaeOs87EElRB8a3hrjz5b8A3gX8aqqn1oRILqTThe4vglFbzXXUe7E8dWHUGxVJfXj1t0dyiZourcxo2GBqJA3tX6a+y+W5fEskjdTQeFMkV6jJO17ShM9VODUtzmA1g9+cb3O+LWC1wO1qulwzLZKWcrZU37V0bIXDdbRoTaPWeLWZF0lbWrSTrz0d2qv9+tpMTTfYu1HODjBuEn+zvN7lko7OO8p5K/9b5emERyd5b6Prbbsj6awuz9GkC+wuNO4Kp6v17eWZuG7w7nDffXYkPdTcQ86e5uNOeveiX68ZkfSmZe9ZTHwf8X3g34X/XfD7qq+fGezPt7+YAfIPgDfQ3kCxg9Q3CN/BZmFIKQb/bjM3lP9Qug3Tq2F4D6f1CJgj6ewZmYzCZRRO9zi/R09Gyz+mZSRjy0QyTj2ej4n3v2Q8ruP1doLZmECTiWbMO2Byn7NJ9J2k95Ph3A/zATZFLVNoMtV1qtof5PswLR7Wn2k0nOb6iBoeoc2jNJzOb/rCSGbo2wx7j6ltpnzeE5PH4cyS/wk+T9h7Uq1P4voU3Nkw5uA5R86nrefiNxdn75DJM2qcr475alrgfoHYhfRYiOciZ4vkeNb+YhoslnsJzZ+Tf+k/xvd5+Z7HbZmY5XxW0Na7Y7ISn5V+U6v8DlbRebVZWq1nL+CzxjyuMbdrPQ/WqXOdOl/k9xKOL5mj9e0jeRmnl/XhFflfNVevqnGD38dGdW00n6/xex2/1/HchMsb9t/g+6Z5f0vet/m+owfvyvmemt/z+3hfzAd8tvrtfaj/H5mLj/V0mzo+gfOp/c9gfqYP2+nxuVq+4P+lWnbQYKccX6n3a/y/9szZxe8b99/Q5Vu+u/V4D8y98n3P9wf1/Sh+n/uf/jF1/qzOX8T/op797Dfxv9Hid7NygIYH6POHXH/w/RPWn3L81/wc5Pc3zn+vjzTaR1poHqlv+zTvE+khrSMtVoaNjfTQokgPy9jaSA+fEan31/SI4sz9kfXYVLY50qPEHrUl0hL7Ii1ZJdJjSkVa6h9zf6z948oyeKXZ8TBO5HOSPCdti9RzNj1ZPt/oaflVkVbgWwHmKbMjPRV+xUaRnlaR4VqJz+nsDD5nwj+rZqRVJkdaVXzV/mxvpL630+otGaxznJ+D97nl2aZIz9sQadHBSGtMiNQzNK3Jt9aoSC/E56LBkdbGpY6cdXZFejF+F8+LtK7YutMirSdfPbnqL4v0ku2RXsrP93LakBaXi78cv0bDIm1cndm7onOkV3aMtAkNr8Knqfhm6mi2O1LfyGnzHZG2cG1Bg6txv6YyE9+yGFPjtXK2asCWRHodjq3Ft+7AYLfBqU1PRqe28rVT1/VqukG+G1kHdd8E72Y13izfLbTo6PxWWnay10mtt+mj52jamS5d5Otqryv9urne4dqdf4/akfbEp6f7O/HohWdvnPuo6S4c+sLoSwffxWl//PrDGSD3QLUPxGlQE0Zj38bpEHmH6Ond+Hm3TIfBGw5jOI1H0GUEHiNxHul+lHkc5XqPWkfjPAbOGBx8I6f30mA8bSaIn0i7SXow2fw94DrFHEzF70E5HxYzTb8e0dNHYU2HOZ3mM8zfY7g8Jn4mvWfae1zuJ+k5h95z8H7a2dyFTM559jzX0vl0mC92vpyebekC14XyLtR3z7Z0kTzPdot0sTxL1LXE7D+n1qU0XGqenqfJshLsQKTLxaywXqGvK3BdqcZVNFkNZ7WzF9S4Ruw65y/RbD1tX1b7K7i9yjbo0QbcNorbiPtr+G7i84aZfQPvN83jm+p6S/xmtW7m/zZt3sbpHbq8i9O7ZmKLXr2Hx/t+T++bhQ/M9VYz9aHrx/C2yfmJs0/5fAr3M/Vtp8N2HD7H6ws8v4T1Je479Hin9U6/r6/k/prtot2/cfIOmX4L61s5d9N5D7+95nYvzb6H/T2c7+nwA41+NEs/qmcfbffp2084/ozLL2y/9X4Yv+rbbzT+3fz9bn1AvX+Ywz/k/BP2n+bwv+IPwvXdnv6P3+xf4v/yLPjbnPw9IbJYFllhcGTJrMjSmmx9ZFkZ5j7vENm/qkfmWz4r1iSyQ6dFdljryA4fFVnxzpEdsSqyIzdEVqI2WxLZ0XyOFl+yJZvN9kd2DJ9SchwL77hGzF7p/mxrZGX4lXH1LMxOqMy2RHai9YliypZi+J2EU7n2TNzJuyMrPyyyCvid0oBtj+xU+SrWY3icNjWySmMj886ZVS5iuyI7g/+Zzs88EFkV+c8uxhZGVhV/3/RZNTHnwDsHv3N7RnZe88iK+BfJVQO389VxAX1qloisVrBtkV0o10X8asOqjWsdWBeXjazuP+bMMzKrj3t9vpfQ5FJ1NpgcWcOMiWuI82XOGolrJE9j91fQ8IrNkV1JmyZqu6o4o/tV+yJr6r4p3GZ4NtODZpsia45Lc3W0UNPV1leLvdb1WvGt5G8F+zr3npFZGzFt4bfFod3ByDwjsxtcO6j3JtrerN5b4HTU247quVXNvtWzTjBvk7czzC54d+0YWTd63oFTjypsR2Q9+d9J715mpZdaeut1H/nuUndfPn3XRtYPl37O+tOhv54MgDXAdaCZGcSGwBtG/+Fmbbh8I2CNxN0zMBup76PEj4J7T0WGo+/pbLQaR5vDMXzGihmnV/faH4/jBLETaTURr/vwuI++k8RNottk2JNh3e/8AfFT1D0V7oPqeojfNDo9oq5HaTQd1nQ8Z9Bqph54H8xm7Y3sCRhP6r1nZfaUPj2lD7PN3RwzMscMP02TuWqfK988MzYP1jPyzNf/+XwXqH8h34X0XaQ/i2A+i9Ni+ZbYX0Kr5+i21HopXZ7H9Xmzvgz2crbCXKy0t1KfVtF0NQ6r1foCTdbgtUb8WpjrcFqH+4v0eYk+6836erW9TJNX4G4QtxGn18S87ne2SdybNHgL9ls0f0vtm/HfTNe3+bytjndwegfOu/R4V31bzMYWOd6D975avA9mH8D/QN+2Wn+oxo/092Pn2/yOPlHnp7T5FJ/P+H3Gbzvun4v9fEZkX9DpC/5f4ryTHjudf2X/K7/fr9X6tfp34bpLff+2/tbMfAvTe2K2G///4PYfvnv0Zg/NvnP9znWv6159+V4d36vjB33+Qa0/0vJHOPvk3QfHd3r2k+vPrj/7vfxMr1/g7ufzqzn5VR2/4v6bGrxjZr/R6HdcD6jzD3k8c7ODzv9qHXnsiDyZEXlaha2NPGvCtkeeL4z8X/0jP6SI7Yu8mPtDO0d+WM3IDy/GDkZefHbkR/SM/MjBkR81L/IS6yM/eirbFHnJUsxZya2RH+N6jL1SzdmuyI8Ve9yWyEvL7zs/L+Naxv3xOPjOz08oziYweCeWZQciL8vvJDnK4VTO9WQ8T3ZeHr8K1hXGRn5KMBxPtXfqssg9b/NKsCq5no7HGVnk3kXzs+ox51VgVxkV+dkVWR8Gr6rYqmqtpsZqOFQvweyfI/95chTxLVJjjUaRn98+8guc17RXc1XktcRdaO+ibpHXtlenNhPnmZvX3Rt5ffGXyHcp7AaVI28o12UdIvdNn18+K/JGHSNvLK4xblfAv0JvrsTBe2l+Fc6+7fOmcjRTbzN4Leh2tV5do+ZrcGxZhg1jcl67OfJWtL6O5q1htqFtG3ht4bTVi3b22k1jtG1P8+v16Ab3vu1z3/b5LTh35Hur2bhNbGf5uuhR18mR364Ht8Pu1jLyO6pH3l0t3WnSg3+PDf/3L8eeuPW0vhNeL9r3dt4H77tg9VVbP9oMsPadng/kO9B1kNkaxN97aD64AXMdUp6JHWJ9N22Huh8mv2dwPgKfkXT33M1H03C02kerewxNx6pvrPkcR+tx4sc7H6+uCThPoPVEWk5U80Sz7fmb3wdjEj6T1DvZdTI+99t/QG0PiJ8iz9RtkT+Iw4M0ewj2wzAexneaeh7Fdzr8Ga4zxD4m/2MwZ/KfCXPm/sgfl3eWHs+yfkLuJ3ZH/qT7p2g9R5457p/Wm7nyzKPvM7g+I9cCei7Qu4X2Fjl/li2m2RJzsYQGz8FbKpfv8XyZfMvNzAq98E2er9SvVWZgtZp8h+cvuPcdnq9Rz1parnVd5zexzgy8iMuLOLykppfkfdn+K+btVbleFbtBjo1N/heJOFXSAAAAeJxjYGRgYF/AqMqgywACTEDMBYQMDP/BfAYAIbACEQB4nIWRPU7DQBSEx/lD2BIgIVFG24CQUJwfUaWhSzqKFOltZ+04sr3WehMpDSfgJJyAE3AETsIBmCxbuSD75PX3Zt7sWjKAG3zBw2l5uLb7aXVwwe6Pu6Q7xz3yveM+Ajw7HlB/cezjCa+OA9ziyBO83iWVId4dd3CFD8dd6p+Oe+Rvx33e+uN4gKHnO/ax9h4dB3jw3mKlTGN0VI/yRFXNSmb7ItIttdWupW5yVYlpOGk5S1lJHRm5EfFRNIdsZkwqUq1KsVCVkUWhRK3VTiYm3BpTz8fj1OlhokrEUCyDho9GhBoj5EioVdRWkMiwR0FHn5n9313zJM13bnuBKUJMzmSWzFQ2F9GX2DAX8/8Iegd+14yqQco+5YxCSVrY7Gm6YCkqtfV2VBLqIbY2VWOOMSttzYf29vIXwNZ1kAAAAHicdV0FmOPGGc3wmL10EGbeJLd7YWZm5si2dq2sbfkke+HCzMzMSTHM2CZtUkjapJAUAoVAmZmHJI3s7X3fWu+9QY0G/gHpVoAr6H9ohXn/sTsBBAhgQAAFDHCQAVmQA3lQAEVQAmUwAAbBEBgGI2ABWAgWgcVgRbASWBmsAlYFq4HVwRpgTbAWWBusA9YF64H1wQZgQ7AR2BiMgk3ApmAzsASMgXGwFGwOtgBbgq3A1mAbsC3YDmwPdgA7gp3AzmAXsCvYDewO9gB7gr3A3mAfsC/YD+wPDgAHgoPAweAQcCg4DBwOjgBHgqPA0eAYcCw4DhwPTgAngpOAAyqgCmrABRNgEtSBB04GU6ABmqAFfNAGy0AAQtABXTANZsAsmAPLwSngVHAaOB2cAc4EZ4GzwTngXHAeOB9cAC4EF4GLwSXgUnAZuBxcAa4EV4GrwTXgWnAduB7cAG4EN4GbwS3gVnAbuB3cAe4Ed4G7wT3gXnAfuB88AD4FPg0+Az4LPgc+Dx4ED4GHwSPgUfAYeBw8AZ4ET4GnwTPgWfAceB68AF4EL4EvgC+Cl8Er4Evgy+BV8Br4Cvgq+Br4OngdvAG+Ab4J3gRvgW+Bb4PvgO+Ct8E74Hvg++AH4IfgXfAeeB98AH4Efgx+An4KPgQfgY/BJ+Bn4OfgF+CX4Ffg1+A34Lfgd+D34A/gj+BP4M/gL+Cv4G/g7+Af4J/gX+Df4D/gv3AFCCCECGJIIIUMcpiBWZiDeViARViCZTgAB+EQHIYjcAFcCBfBxXBFuBJcGa4CV4WrwdXhGnBNuBZcG64D14XrwfXhBnBDuBHcGI7CTeCmcDO4BI7BcbgUbg63gFvCreDWcBu4LdwObg93gDvCneDOcBe4K9wN7g73gHvCveDecB+4L9wP7g8PgAfCg+DB8BB4KDwMHg6PgEfCo+DR8Bh4LDwOHg9PgCfCk6ADK7AKa9CFE3AS1qEHT4ZTsAGbsAV92IbLYABD2IFdOA1n4Cycg8vhKfBUeBo8HZ4Bz4RnwbPhOfBceB48H14AL4QXwYvhJfBSeBm8HF4Br4RXwavhNfBaeB28Ht4Ab4Q3wZvhLfBWeBu8Hd4B74R3wbvhPfBeeB+8Hz4APwU/DT8DPws/Bz8PH4QPwYfhI/BR+Bh8HD4Bn4RPwafhM/BZ+Bx8Hr4AX4QvwS/AL8KX4SvwS/DL8FX4GvwK/Cr8Gvw6fB2+Ab8BvwnfhG/Bb8Fvw+/A78K34Tvwe/D78Afwh/Bd+B58H34AfwR/DH8Cfwo/hB/Bj+En8Gfw5/AX8JfwV/DX8Dfwt/B38PfwD/CP8E/wz/Av8K/wb/Dv8B/wn/Bf8N/wP/C/aAUEEEQIYUQQRQxxlEFZlEN5VEBFVEJlNIAG0RAaRiNoAVqIFqHFaEW0EloZrYJWRauh1dEaaE20FlobrYPWReuh9dEGaEO0EdoYjaJN0KZoM7QEjaFxtBRtjrZAW6Kt0NZoG7Qt2g5tj3ZAO6Kd0M5oF7Qr2g3tjvZAe6K90N5oH7Qv2g/tjw5AB6KD0MHoEHQoOgwdjo5AR6Kj0NHoGHQsOg4dj05AJ6KTkIMqqIpqyEUTaBLVkYdORlOogZqohXzURstQgELUQV00jWbQLJpDy9Ep6FR0GjodnYHORGehs9E56Fx0HjofXYAuRBehi9El6FJ0GbocXYGuRFehq9E16Fp0Hboe3YBuRDehm9Et6FZ0G7od3YHuRHehu9E96F50H7ofPYA+hT6NPoM+iz6HPo8eRA+hh9Ej6FH0GHocPYGeRE+hp9Ez6Fn0HHoevYBeRC+hL6AvopfRK+hL6MvoVfQa+gr6Kvoa+jp6Hb2BvoG+id5Eb6FvoW+j76DvorfRO+h76PvoB+iH6F30HnoffYB+hH6MfoJ+ij5EH6GP0SfoZ+jn6Bfol+hX6NfoN+i36Hfo9+gP6I/oT+jP6C/or+hv6O/oH+if6F/o3+g/6L94BQwwxAhjTDDFDHOcwVmcw3lcwEVcwmU8gAfxEB7GI3gBXogX4cV4RbwSXhmvglfFq+HV8Rp4TbwWXhuvg9fF6+H18QZ4Q7wR3hiP4k3wpngzvASP4XG8FG+Ot8Bb4q3w1ngbvC3eDm+Pd8A74p3wzngXvCveDe+O98B74r3w3ngfvC/eD++PD8AH4oPwwfgQfCg+DB+Oj8BH4qPw0fgYfCw+Dh+PT8An4pOwgyu4imvYxRN4Etexh0/GU7iBm7iFfdzGy3CAQ9zBXTyNZ/AsnsPL8Sn4VHwaPh2fgc/EZ+Gz8Tn4XHwePh9fgC/EF+GL8SX4UnwZvhxfga/EV+Gr8TX4Wnwdvh7fgG/EN+Gb8S34Vnwbvh3fge/Ed+G78T34Xnwfvh8/gD+FP40/gz+LP4c/jx/ED+GH8SP4UfwYfhw/gZ/ET+Gn8TP4Wfwcfh6/gF/EL+Ev4C/il/Er+Ev4y/hV/Br+Cv4q/hr+On4dv4G/gb+J38Rv4W/hb+Pv4O/it/E7+Hv4+/gH+If4Xfwefh9/gH+Ef4x/gn+KP8Qf4Y/xJ/hn+Of4F/iX+Ff41/g3+Lf4d/j3+A/4j/hP+M/4L/iv+G/47/gf+J/4X/jf+D/4v2QFAggkiGBCCCWMcJIhWZIjeVIgRVIiZTJABskQGSYjZAFZSBaRxWRFshJZmaxCViWrkdXJGmRNshZZm6xD1iXrkfXJBmRDshHZmIySTcimZDOyhIyRcbKUbE62IFuSrcjWZBuyLdmObE92IDuSncjOZBeyK9mN7E72IHuSvcjeZB+yL9mP7E8OIAeSg8jB5BByKDmMHE6OIEeSo8jR5BhyLDmOHE9OICeSk4hDKqRKasQlE2SS1IlHTiZTpEGapEV80ibLSEBC0iFdMk1myCyZI8vJKeRUcho5nZxBziRnkbPJOeRcch45n1xALiQXkYvJJeRSchm5nFxBriRXkavJNeRach25ntxAbiQ3kZvJLeRWchu5ndxB7iR3kbvJPeRech+5nzxAPkU+TT5DPks+Rz5PHiQPkYfJI+RR8hh5nDxBniRPkafJM+RZ8hx5nrxAXiQvkS+QL5KXySvkS+TL5FXyGvkK+Sr5Gvk6eZ28Qb5BvkneJG+Rb5Fvk++Q75K3yTvke+T75Afkh+Rd8h55n3xAfkR+TH5Cfko+JB+Rj8kn5Gfk5+QX5JfkV+TX5Dfkt+R35PfkD+SP5E/kz+Qv5K/kb+Tv5B/kn+Rf5N/kP+S/dAUKKKSIYkoopYxymqFZmqN5WqBFWqJlOkAH6RAdpiN0AV1IF9HFdEW6El2ZrkJXpavR1ekadE26Fl2brkPXpevR9ekGdEO6Ed2YjtJN6KZ0M7qEjtFxupRuTregW9Kt6NZ0G7ot3Y5uT3egO9Kd6M50F7or3Y3uTvege9K96N50H7ov3Y/uTw+gB9KD6MH0EHooPYweTo+gR9Kj6NH0GHosPY4eT0+gJ9KTqEMrtEpr1KUTdJLWqUdPplO0QZu0RX3apstoQEPaoV06TWfoLJ2jy+kp9FR6Gj2dnkHPpGfRs+k59Fx6Hj2fXkAvpBfRi+kl9FJ6Gb2cXkGvpFfRq+k19Fp6Hb2e3kBvpDfRm+kt9FZ6G72d3kHvpHfRu+k99F56H72fPkA/RT9NP0M/Sz9HP08fpA/Rh+kj9FH6GH2cPkGfpE/Rp+kz9Fn6HH2evkBfpC/RL9Av0pfpK/RL9Mv0Vfoa/Qr9Kv0a/Tp9nb5Bv0G/Sd+kb9Fv0W/T79Dv0rfpO/R79Pv0B/SH9F36Hn2ffkB/RH9Mf0J/Sj+kH9GP6Sf0Z/Tn9Bf0l/RX9Nf0N/S39Hf09/QP9I/0T/TP9C/0r/Rv9O/0H/Sf9F/03/Q/9L9sBQYYZIhhRhhljHGWYVmWY3lWYEVWYmU2wAbZEBtmI2wBW8gWscVsRbYSW5mtwlZlq7HV2RpsTbYWW5utw9Zl67H12QZsQ7YR25iNsk3YpmwztoSNsXG2lG3OtmBbsq3Y1mwbti3bjm3PdmA7sp3YzmwXtivbje3O9mB7sr3Y3mwfti/bj+3PDmAHsoPYwewQdig7jB3OjmBHsqPY0ewYdiw7jh3PTmAnspOYwyqsymrMZRNsktWZx05mU6zBmqzFfNZmy1jAQtZhXTbNZtgsm2PL2SnsVHYaO52dwc5kZ7Gz2TnsXHYeO59dwC5kF7GL2SXsUnYZu5xdwa5kV7Gr2TXsWnYdu57dwG5kN7Gb2S3sVnYbu53dwe5kd7G72T3sXnYfu589wD7FPs0+wz7LPsc+zx5kD7GH2SPsUfYYe5w9wZ5kT7Gn2TPsWfYce569wF5kL7EvsC+yl9kr7Evsy+xV9hr7Cvsq+xr7OnudvcG+wb7J3mRvsW+xb7PvsO+yt9k77Hvs++wH7IfsXfYee599wH7Efsx+wn7KPmQfsY/ZJ+xn7OfsF+yX7Ffs1+w37Lfsd+z37A/sj+xP7M/sL+yv7G/s7+wf7J/sX+zf7D/sv3wFDjjkiGNOOOWMc57hWZ7jeV7gRV7iZT7AB/kQH+YjfAFfyBfxxXxFvhJfma/CV+Wr8dX5GnxNvhZfm6/D1+Xr8fX5BnxDvhHfmI/yTfimfDO+hI/xcb6Ub8634FvyrfjWfBu+Ld+Ob8934DvynfjOfBe+K9+N78734HvyvfjefB++L9+P788P4Afyg/jB/BB+KD+MH86P4Efyo/jR/Bh+LD+OH89P4Cfyk7jDK7zKa9zlE3yS17nHT+ZTvMGbvMV93ubLeMBD3uFdPs1n+Cyf48v5KfxUfho/nZ/Bz+Rn8bP5Ofxcfh4/n1/AL+QX8Yv5JfxSfhm/nF/Br+RX8av5Nfxafh2/nt/Ab+Q38Zv5LfxWfhu/nd/B7+R3rYCWjI0XNhutekG14Y5OeI0Gj5iQw2VdJ4hlzQpLUr4jJmTbd8QKYynfEROy7TtihfGU74gJ2fYdscLSlO+ICdn2HbHC5infEROy7TtihS1SviMmZNt3xApbpnxHTMi274gVtkr5jpiQbd8RK2yd8h0xIdu+I8adaseb9jpzI44XtBtOyx11W5Neyw2Vv3KvWogFFU3Esk7DCZpKIwqKX3fWyTsNb7I1WvE7Hb9pSNVtddwgo4nbqhm56dVqDTenSdhxgo7x0vHbVKC2M4ecRgc5zRpzWrXA92rcXMcKTrs96rVqXtXp+AESjIi/hpt3gmrdm9Z5ZYaUnSDwZ0a33qzmTo7W/JlWSmi4E50BWwi8yXqnaCvdtqEVJ1ARWFQGLyVUBc4nvNs2jtWGX52a8UJ3geF+V5ZKryxjt5/mQJ+8kqXIxG3fC+Z36wti1Yu+INqt1COvbHF1j3ayC/+PY38gK+H+QNqx3KvbQlj3g46dZSvCgT65YCnddjZhJobe4hvok8uWYmdGl5SVmd5iHeiTs4li6kfgtl0nqnuB2+kGuqwHU4pK1hRWX8kP9usDtqSymAps5XGwX89Z0iKNO/XA707WR+uuaKEq3NA8DsNa67bt3JV6xMUx7y354flcerxbOR+ez6WQEleMWV+hjczr1BvASq43gHYqptWEqkJPsmhFVOoRecR1CuGo05oUmaz6rU4guumhlOrOtkX3VzJa1W80nHZo7jo0rgOGTXQbjbAauG4rZ5SmPy2qRth2q6ImOx3PVxnK2wp3QtEjeeEUdDpZZ8YJaqZ7lxBXnOpUUf6Ebadq+o6EBu60G4Sm7vfJmVgpVJzapDs6rqPmETPy0ilbXjpl5K1S8laR7KQicaJIRK9ry4GRq1VbrlaNXE9FUo8iCVNyGMmdpi13mkae9m152o/kVE6mo5zMpHIyUxWlOjlarbtVfZuZmBYkqjlhPfKvmQJSUQGTdpmJqQrYbnTDJKBkWQlm9UNVEInffMVpNHy/pbuEiCSxFlISM0yEatUcT5cSM0TUkdYUkT9jRTn4Vetxl5HQhmdMiWJaKyVUVMN2mIl5ruKEU66OiGqc15exKHlFjDhui+PlitMRtXpORSUMGnm/WpBtJCZ1pzHBDGEVt+60qqLWuo2GbrcKhY3oUWQTjiWkFXe55wZMX8ZYxavOiS6lVPFafrUrrKPQBIt5qSIH/mVdv+Oq7qpscdWdZCqNrtvx/U49U/Frc6Mdd1Zovh/VEYlkprFEQ/Kn6QRTVjUqprXBmMYVqpCSEqYfWMSSmlBMa0mMcU0rpKTEg7TuejxIqRSzWVM+MecRjBMNkxtXVKGw7jYm8gI1K/6see6ayHCdUHSjbW3WJjRwJc7Egkg1qLnBqKOyp6A2XyOm7de8YV6r5QY5Q+Sji7xpezby5netMNoqNCTszDXcKFFh60b6jFfr1KkmwxVhHtZEbR2V96UHqDBvi0PSocdIG+7R9LiUFhck1GslQRf2yyr0QJ+eVpS9klJUsOGUZIbkkV5ReS31qFZ+lW2d0N4MmWgHU0pU1InEo6pRkCB0nagPNwwJIGrD7Jhp6hIllT6bcCwhET+uaL5ifBYzpmjEpJqLiycGuqK4uBNVx4yHmZguqqjsiVmVCNrojNYFM82t32Fhj9YQd6P76D592JLiOEs9op1GFFcxrRUqge/URE47o22vlYmZ8CZsCNkUhM3XFHXcUFcMYKWITHiBOyEbnuGhM+EEXrYSdE1/QxTMVbrVpDdXmFe6ekBDAuQrXa+harlTqxVjYgbEiOoeK2aiXg7HzJ2tNpymtGhEZY1EGb2McSitmL4xpcm4eyWRwOK0ZKXS43lSVJYeSXbuPSmr0aOc1sRsMS3MFlI8YTKNhMnok6JSMediKmY+MRb9qoGx96hfjajwIWxHd84VPoRbIGzRyIehhWpqvSFiQrbXGyJWqjoNOeaJebpuUAkfEtAVlkNgD1tpbTCmNaejYy6kpAGLzWmb1laSJIQlau6kmNaS+FRLjJk18KW1xEvTa5mRr5jWLC+iwOq9XqSW3FkyfKakJI5ATADcnjiUlsQx47pTPXFIqRSz2bjwDecRHI7AmPUYSj3iUMLjB1FMa4M2nUtnRklWQsnDKPWIVqRqppfQ5HmUekTLU/JESj2i7Sl+JqUe0brN+KkU05oVT/JcSj2iFU/8ZIpprZxQ/WxylpCJcZzc+HyFNt5TaOPpQhufL4vjPVkcnyeLWotzMR4HXqoTtLiKrJjwVMCl4qaabuDoeaHBYlraCKOmmiiR87RXc/V8aiSl+BMT2pTrVfO2QDVh+jImamA7lN2j6ZQMy0vQFT1YW5qMhoibCOwOL6bSoabbQcMLO3lFRc2T/WVWEa/pTLoZBaUPjaTJLgoqEIOdMqjUlNni9nJRn5xNFBOHWuqw4uhbcuqTs4lS1lCvX6jlN1uwF4X69ZwlFTTutqOKZpi9yNEj8ohLh47Vx2QTXlQwnplkYqqRqZsCxa0yE9OcQroNUY2xvBD5M6Z+x9XvUhFGJFD1vVZWITEHqU5hCcVthaHb6URjl2FYGT/V1HiXial0sO47E9OimGvKR9eJshpRjXQhSWSZmQkfUlA9xjiKYlqzqH4MMbU7ybRoedLTzB5PSrTSlrW3N201CY2pDpxElk24TkxXovgmSj2izXVzT3hyH+Ve1faWJF7uVe0sxPdS6hGzCdfRmucZ57ncq6YE3RotIcn2QJ+c8phkfKBPTuUkznq5V81Zgn5Gsd9MTLFEGd3mHJWYRFZ1ztsK16QxafxZt5m3FaJIVv2OqYmzgZElqJn2TDUTz8OdFr2p2haJVjjLtij7ukFb0GuaKT9qt8YW9BzXVrrtOKmq32yLVPT8oFdUU9JeUUU32Kt22+VEMmuzkVDzu5WGq5Lo1dScvEfTk9gesdvOJ8pMK74dXQCxm1ptiIiKKBuxbjtnPdQIywWigsHRw1BsuNrw2hU/HtZM40iLQwkX9p1jOoOUZlHdEcXU7ojSouXJttbSopW2ZYilNCtIuytmLOWERwZVImRiPBIj294t96rDlhDffalHtLnuwRJu92A9qu0tKYJyr2pnIS6EUo9ox6WKoS8upQ5Ywqxp0JaSTUi2GptLBQ3rwqLxgzmimEjP79bsVSaTXlodsgVjLRTTmgmTPIOcJZjwMqqGbxb6i2lt0NDAW7684cYZTqSsZlbQCX/S9I8RLcVozIxhMTdOdcdr2E6Sx07L3bTTcrecwDH7rpQwrHFDrblEk/rFvWLgeK2oOfW7lHpEk2BSj3KWYDw3o/X9bMKNU1yxsgk3TnE+RiwuKvD0nP3MEzWbCMYtWTHPWULs6JploJwlmLTDllmhyibcPMSw27IfoqADGnXbcVXJ2wpRRCcSGjNRYS3NWZK4B7/mmhUUDVW3iSXG0nIsyY03tyqXfcwzSni7Yea9pR4xm3ARa6PbbIWjk06bGSyuzabq6OV4E+o8MkOE2BLZ6ARe261hSbJqDJIxBrza7irfSICF1cCtecKilj3e2KjcczMmfZ++KC0lk56heRzKtqafVyLgauC3edU08bwEdb9j7kCTjLzKpfYZVJXNvhsEbqs6N1rxOrpEI6Em9zSDQszdbuAPJGxW2DJqrhkpbbkentCg23bdfEznXFHY3SA0604RllYR1XhQTTjM+CiMu45bK9uSCmYJTOHGpA6XGIVxOMteylkCljgvB4yKXBOW65ox0euaMVXrmgmTdkvM7HXNWJRpqXXNtKIXz9KaWtfskeS6Zlqy1zXTLmpdMy2pdc20pJt4WhNzv7QwW0jxhKl1zZipdc2Y6VYZ0247G+NZHsFSzZ32qnInV9fVbMIjpzBMOwlerHnOZOA0R3WfnYlp7DCedhjPC9T0W6a7iYjaRjQkV5ORL9G9i8ZaGrOkMS2NW9K4lpZa0lItbW5Jm2tpC0vaQuQu1HvLWCImf/ygJnIXxl0TM6Rsrm3fWCk5SxgRWHQ4la6Yo9R9MZqKXsBpDFnqtBt0vKrTKNd80aZE3xm6pm+whKLCfts1HXZMkWg0PBrHM7W26bWxRFyM3pVKRbY20bNU/Nm8vDbMUBETXdKacNcs3iIBmPiriM4964raoEduomBO/ZrC11hL45Y0zt1JYyMoEHhuDQmUdU+W5yR0bBKW3aZ/siePZgS6YHOWYBxrwgxJOSphscbCtg/cMBTNrOGaLn94PhcTl+iJja2Vs4QRjbWt6c5FZ/h61ZIWpjyTUDbhQxo2nO5kPbJIimltUNOW2xV9uC7RQkoy6YVNz3SaK9tCtx16NTexFRf+H8ecpZv7EmP7ZEOuxaTuK1HNfc14rSn7viQvu61ptyEq26hZcclZwlCMrY2HtDYY02S/PCUtjpnVY5rHOI9LElgNszGzdhnSWpKBuAEtSkvWiax5HAopLfHRdtqubi2Le7QkvuH5XIppMclfsn+RkpIkEzOwmNZKMTXbEwnnEcy5gROaHFONqRtWRRa426m7QcsVtzptmTA8YiUBwk7yXLIJX2g/M/s8Xb++yJbsTn9oHoeirTUmU2H9aseZNFkZmschlSd7RbZfX2xLokvWB8T0k5vHJWeJTOJuzS2IXqbhVb2ozAzjorswT2rOfnCZmCKBsuJP9r2iGkhoWiOfcKrybMUUmnBaIxNyF3nCD9Q5skrHzBN71UUpwXoSQ/M4DKQ0NRzYyvCE7FF6ZqalHnHQ4sZoLaSkIcXkQpIY6Num2qa1sqZey4n6fkvQCVYC1zF9UsK1k7UAnnCdgppxqOKOqXaoeWbzIxPTlRUSDVMdmOm564X/x3HFeXRTCiPzOq2UUtOlsmB+t0VpOSmloXkc0hlNSm2wX097TUpxsF9P5ywu1YE+Oe0xLuWBPjmdeGJaDPbrPV5nq/N7lXo6nf4ynYj6tIE+OZ2K2n+aJxWlp+OMV3cG+uSFfcrYPHEqfXFKarryJL6+zeH5XNIxJ2sVg/16j9du6FXn8yr1dJVt18z+YK+arpCizwqjXngeh3RhxWbzQJ/c69HcUa/Hbtjj0Q/ne6RS7rmddme+22l30m048Kr1eN1/ZF6ndIkG3YYx1Qf79XRRhQ1hm4XzFJV2WCWtCaPVqYX1aFFn0f9zTZdHnPeBPjntccY3ff5An5zO3KzVZcdaumSWe+15ylaoeVsoGRK19WzCjVPctrMJ1z10koW4DWdiqkMnbTabcB0mbqOZmJZiNGaFUVwXiN0G87aiQyZtLptw4xS3sWzC9aAYtSkeMV1iVhvKWYLOfNxmMjGNHKK925gah6hNZGJqkjdtgEdMV9lUnS+kJH1HSR3PJlxn3arTOUvQ9aO3Dpd7VZ3fZJ8tptohrqOZmOpEzO60xjrHUR3kEcMSqIDqXB9RSD3JzpyctTjVXEK8xKHSbCcOVStENUyR6YTUfP18IzKbOLmzbkImvYnEX931rFD1TrORsJOdaScJdnJ7MsnRyaHlTVQSy1topTvlziWkudS6pWbNcqhZQZq+dUvN9rhNlibE70wkRFRhi9TbFmlNWqTdKdjESrUd1pK8ta1MB85M4hBUkvChsI4tJh5L4i+sJxGEyxoWmZ5MwnSEBZI4dexy69h315ntJGTGmU5imPHtGGYbVoYEseKbbVqZmGs2ZK1symbXkcc/E/u8kJJyhqm3mwzWW6mGWPOZQkqimokIWpNu0A68VgfLk6SZiYZ5ywFLxCYa/owbLDHXMXMVz9xvqDPa0uzLGaK7QI1VPxc5qGmpwaG4uWjdoJjWuKGzVAMT15iaSTNDiOzJRQOzZiPMEKKmnyMTXTE6tLvNtrAg3WgQKfeqxUTQPUdES8lLPKJVep2s9VLPRLfVMhFSjTOT0SLYkEIzclml6gunasetZWINS4Qm3WZ50m2pY+/NijfZ9bthwQgTbtMRT9QwifMGdwKnFQriq3PH6o4N4ZPmyJaI2c+IbkM7Y4nQpNeh4q/erRQnG35F9F5NV/TXTjhsaOg5o05X7hA0PGeRFuWhe7naFPrdTl15GdIOclNA9oATMgqiNKp+x3KTvj9pRhyqMZ9sd9U2RVlPW9QESc1tsolQ1FDMg5QLj2hhMvBqo0vMwXAesQEFxoU8aV4uyNsKj0jkb7zP37jtbzyjgC4ugUrip22tuhYUj9ZbC6nNCR6xQmrvgUeM1p2mKOtS3WnV5Ouyrh6HRiwuHkuzomtmr5pNBB1CqaG169urDtlCtOub1vKSRi8wMUNwXb7WFC3ZlyVouR0xfJqNYUsoSBxEW1s8YkUJ1Hku3YpiigQSrOnpEpYoK4/utet+yw0VDMVoPx0wA3N6GUxXEuuAloZy2bmsYbLbnrMEonBJ/VqLAAmnCoaFuttO1oMSJhPgEcvX3dnYT0zU0rchhboftr2Osft4xMp1vxuoZRnzLkspEcJ2w+sUEt7x25mYFQXSW1SmHCNa1sjarbeEksbxSmk24ZGTHx3/TnjsZKpTNuELNOxdWR3ok00Y6Wiii/vBbMJN5pOnmbMEEy62ubMJN+GsbWxLKGhsqjmPWF4D8zaSIURddWizBa0xrAeZejeQfVnLzdTn2i2/4y13M3pyIHrWbDJNIApS9RtmvVb0XgtRMK9+TezMkIzXqvqTLa/jU9mOWx3utcRI63XmygL4qY1OS2AKNya1J3tX0xKwxANeq93tjFp7q3lbEemLVih3zATqyFdBq53CyaKytUSNdRqVbnMwZvEiVTktddsjkZB6Ra3cq8YRqzqZj5lfc0sRMXOi2KsyD2Kv0j6Io42mFLGrOv0YkVlmEDfXUIC5UHTSImUxlnkTc/q8VkSUOcQMy005rYqjKzXVmAsLWA+hAhTEX3KsikeMNkRLdIOMqP261mGJcg2nLRqxjkzjohgC5XtsogOUBklBU2Oe5BQzcyCDZZ9CNV5ZXMSgOyo3ZuSinniE8vSvfpN3eD7HBT2i8VtMy/mIyv5nJUPUVKon3NA8biva2oyoy+oFeeV9sN8pymWnLqylUXPKImvEmc5EseFNCDshEPZXIOIoqsM0lW5DD4SDCY3OnBdSUiZmI8nZHPV+qTl91asW0yd+MjHF8s3XrLJDl25ecxWf4vJH1NNWVp4lN8fRNDRnR8yd520xp4gY04S5xxT2GzoC+aplmFGw44RT2rEr6o48qR53e1iibKMbvRFEFCSis/GqOfHbit7Z0pg1Ha8h+hhurmMC6CqIBCjI9hh37DxiuCnSFyzs+DW/RWVj7DaLTVeYQ3I41oUTU+He9IO5QtNtdUflBz90XIaVFah0xehmTinZgjJ/1bPoVXOWkFFY5owp1G0LJQxdORXBTbfj8KZZGSlI0OxGB8QjhgQoib/AD311PtpphpmYCxdhfqsXnH2n5tZ4xLNN0SeZj6coyJu+eBhdMe2Jj2qVFFLPTg9LCccSlkXZCJL0EjlLEI5ybyzlGAsipmjMJArm1K/ZGddYS+OWND6g14la8uByRdyoWytZiqxM2YQbz23T8UjzxVYyLXcmVNuIpZYcGESjHQ1nvE61XmrJ1XprtSrhRQWTVaSY8lZX100kAG1NezXPydvbbTFRppMhg35bmdRi6lEzn0MopCQqmaimotMQ8+FC6tMWPGKF1LsPPGL5tiPua1S/3yhII365gBnCzXUso8pBHsAUKHDU7CMTHwPDEpXbjiga2/iyhAUa99lKfbKJxTopaAkljZPjgAkf0nBZV/QtUezFtCaorFLRNl8mpgMa2QfObSWriaqKCtK2MycKZqRdHY1OrSRToWyiFgRMHGC7yttVT830sm03+j4FUZBH2+dIgJz4q5oDnQWDzVxJMyladnnMlF0eMRGLPHiiW4fGTD5D4Zw1a6NioB4wUH/nQd+7pQxFxHqrOwqSPOm8rRQioj9OY1hsducsIcZyz9Ngqy6UrCVcO6+Kq7TKtiJjTAsi2oW2kKpnlq7Mb1uQw0wqNWVMF21FTL1tOpuz15sNlvFGZaPPO9gkjFJoxB+2igIqu97guLbnLCHKSuA3RAczGyWibf6IqCqTMazbjpKbjs9I5m0lJvINtYJNxlJsPMqYnOnq76UYYdZ0L4ZRDbLJsBlB0Y0Ma9gQc2t1TkIPJz3ioObTXiWIX6xNSUSxYttzre94ZGJaanuTk3Oj8mMfJv2YizCt0eRIQiamvG0OFOcliOwFZgiSr5y31TRBdCrCrzEnBCiojiDqXXjEygrYcxhLyMT7EFgi5WROfwgn88I5lojKH0+0Elkb0qdBbckkEAtMYTFJUlc9R1RdqY4ofTzUlpKIzERK4rzc9Yg3cSNifYYlJTHDlBrXuaGYWaeK0hqPKGnL9dO8tIGrgacGuoJNxvJqLdYM3syQYjvw5ek3M5nPxDTX7san8KnG+WWB3noX9a3FDBmORxH7O1E94kjM7fM25V41FwuNySSIPe6Xe9UkefuFxR6RR5ws6/qBQ9RLWYXU6jePWCG1tM0jlgscYUCoL+25TB6Ir/gzxcCtuqJwxdS4IyYRzNCcvKoiH93MwkssPGbhcQsvLQnsW8drsgkfNNBesk9JOcPUE9M4ry/mqzqGyKv8mI3wU6t5HRK4k+4s198uG11CNRD31m7MyTfBdL2IaVYjNRorKLIs52h2liM+aGA6y5aUM8xkWWIS+BVflKEff1NiyOCOM+VG07diWqOailDdqIJTjXlgzC4kAJXbhmLmFDoTOjdYoqz80UVEFBTu07H7tHSfTtwF5GHVC0M/CFlY9X251yEX8WdqgagbQT6sJefqmSEDoSs/XWi14rytUE0KoTvZlJ+mqY22nOmSmLXYL9NkE15UMHm5NqYjCvUajuVeVQdQ5ahQYoHHVKdufSAp4TkFzQaoxlheqJ57Z8N61HqIgvmw7rkNk/VBQ+yj70ZKLJWFtvL/fKqeuWwrMt8FW5jNWSzyGs+Pc5YQ5VFvLhlixyfuRMz3ogwk5ZK3FW7ILNVAFEW0cUIUFDH7bbOkgSVmYb07MdFwB0P5ncya69RGo0dTSEkLNPPlXGzUjbvxgT5Ze4zX5qI6sFK/HEYz6nmCSLdF/bJpkPM4zON57v95nhvo04aV0nTlgkv8FnSpRxyxePKScblX1bfT8s0bzvKTi0lR2fJwpIhZ2lS0lFPqERdG3LxjHEU32K9rSQwOjSB6bamQkoqh/jKqWdobSahaPwqt+7HUTCzosow/K2lacEobTmhSRKUeccWEhyqNJLqReZ1W6lOTyBfM76bTnIubXzbhVEJH50qdFBlLfGheiGFchRRTK43JbScaj6gAehkGCSBibDmjM65X8ReEU8L8jJZP48FqoE9enFbsT1rO5zKYFvUztyWdgmsNkHlbGY6JbT71iIWYK5skYiMK9J3I7VUXpQT7RO48DgMpLcmuUXQQ9W3fOMFiWltgUftTrH1yyVL08485Cafm2i4RnaqYWurO1l5wsBWuSWPS+LPfcLcVoghTh4OCcMBcx+J9WB4p2bApcjAjV0N42HLa8n17LN9WJPJnTP2OD4XyLRun0a47Zgu6IWp8WhuwuNyKbnQKKUWzKHQmZiMKtbpqTz12H+hTh1KKTqHUo+UU127MYJFSt1WbEZZMPhSm3lQ0IzAkJ65uzW+68nN3FhYF03YbDTVAC7++2vWwJ0DRpxHkxoP5iIHev/VFGcvTHUTRTPztQI3UNw8lImopVPy6TrOg9l08M9PnEcspYN7v1Ligesp4JhmxsgL2RM8SMnEXjCUqyR+rB84mvCihqgtRjg2l8nDDtEP1a5yZsFvRE61i2JXvUTa6FRMgogMKpd4xs5WSItbudMK1U9h2zHCdTTiPXp3NJq/QiGhbgWfW4JghOXENo/V+jYUk1xxUrofCuaZ4yIG9NjcQa1ETIR2nImx29WtGC4PTKxPlXpVqgXfMKQEkQEb8mQVRiUodZ9az3vnIJpx33IYrdxyLEiQLJAssavVXA32y5VHO27qtPo9GHk4U60MGPeLChIsZRhLdYL8+lEjJNw/SWjmh5hsHlpCJcbbjtuRi5OiyZQXRFkVGHL2GlzA19MRMrXvFTI2R2ZjO8gjm1B6b/h5mWWG9q6w/y2EL+humSpFuRYXi5e2sopafGaGWJBLdgPwcVOgtd7Mxl89Uw7LcxGjqHkafxUgJIsKSLYheJOVBdsYpD6Ju5yw+pDcM1ddfomqcTTQRV1cehKr45vhTzhKGZf8iv9jkdoT9Zo6flnrEnOG6QmosmpWoeU7HjepZr0y1Ii5THX8q2/En5dKa3IeMoLgJhcakmo1xi2kYcnMdIx3fb4RCDlpOzV/U0a/4B642z5K3wOdxKEda5ClnCStqrHrBQH0wIfY2Mq9TRp0la4jbywoUfSBSwZz6NbtRGmtp3JLGRQSumXVLJFQx2viF1MtQCVOr9/HrUJ3Ab9fnotgkLsqL2vmRn7poioBdOe0T+au4tbJh9p3HAlGYdURNcpoe60wrH7AzTTtqP4vJi/zvD/RZXb9RY/r87BJzHTPX8Zy6ytM7XnVQnwEVORYPXn9nvagkVd3kojaWlHYr3VanW+x6eiYcjsoTZJmYSge1EpU4aFroNiuywPRnTXjEeLel2y8RwG/J387cQvErt5vltli1Kt9VNdsPvXqu24pny1Rj3m1X1fofEoDqzzFku2FlVO+qEgWL8lcth+hBMKZcItULSqC2VRMfihY0annmPgxTcrzIyyOmUhbjlHgKSMDMtPxKXUfuwMdoLDutlzfbbisz7bkzamMzr5CyR9wamfaarp+d9lpz5vViBcVv0A2p+h3LTPte1ZVb4+VpuT1vnXLKWULkGG8s5yyhZHC0iJVNeNFAc/YoE1M4HeRmnEY04FKNmb6MEWWLyF9ht824lar5FC7VWFyk9cpnxE/otNt0xpvwRpfoyxhXF5E4liAz403JD1J4DpbrEzlzJEOOMcUIu6Hor9qxk9z3Mdg6yWoUNQAZHJ0XiagcjWIinwE3ZJZqwPQlzMgD9+rd6VVm5Dcg6qNOTR64keaEbdwt+n+uA30OVCuF2dTqb8SKsykTLRNTPCumGMLVXozOxFTEZi8aRwzM4tmKP4vn3Eabz4k+c050V0yeWelWXLbc95tidOXqKrQVVvgfWEHdAwA=) format("woff");
}
.bi::before,
[class^="bi-"]::before,
[class*=" bi-"]::before {
display: inline-block;
font-family: bootstrap-icons !important;
font-style: normal;
font-weight: normal !important;
font-variant: normal;
text-transform: none;
line-height: 1;
vertical-align: -.125em;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
.bi-123::before { content: "\f67f"; }
.bi-alarm-fill::before { content: "\f101"; }
.bi-alarm::before { content: "\f102"; }
.bi-align-bottom::before { content: "\f103"; }
.bi-align-center::before { content: "\f104"; }
.bi-align-end::before { content: "\f105"; }
.bi-align-middle::before { content: "\f106"; }
.bi-align-start::before { content: "\f107"; }
.bi-align-top::before { content: "\f108"; }
.bi-alt::before { content: "\f109"; }
.bi-app-indicator::before { content: "\f10a"; }
.bi-app::before { content: "\f10b"; }
.bi-archive-fill::before { content: "\f10c"; }
.bi-archive::before { content: "\f10d"; }
.bi-arrow-90deg-down::before { content: "\f10e"; }
.bi-arrow-90deg-left::before { content: "\f10f"; }
.bi-arrow-90deg-right::before { content: "\f110"; }
.bi-arrow-90deg-up::before { content: "\f111"; }
.bi-arrow-bar-down::before { content: "\f112"; }
.bi-arrow-bar-left::before { content: "\f113"; }
.bi-arrow-bar-right::before { content: "\f114"; }
.bi-arrow-bar-up::before { content: "\f115"; }
.bi-arrow-clockwise::before { content: "\f116"; }
.bi-arrow-counterclockwise::before { content: "\f117"; }
.bi-arrow-down-circle-fill::before { content: "\f118"; }
.bi-arrow-down-circle::before { content: "\f119"; }
.bi-arrow-down-left-circle-fill::before { content: "\f11a"; }
.bi-arrow-down-left-circle::before { content: "\f11b"; }
.bi-arrow-down-left-square-fill::before { content: "\f11c"; }
.bi-arrow-down-left-square::before { content: "\f11d"; }
.bi-arrow-down-left::before { content: "\f11e"; }
.bi-arrow-down-right-circle-fill::before { content: "\f11f"; }
.bi-arrow-down-right-circle::before { content: "\f120"; }
.bi-arrow-down-right-square-fill::before { content: "\f121"; }
.bi-arrow-down-right-square::before { content: "\f122"; }
.bi-arrow-down-right::before { content: "\f123"; }
.bi-arrow-down-short::before { content: "\f124"; }
.bi-arrow-down-square-fill::before { content: "\f125"; }
.bi-arrow-down-square::before { content: "\f126"; }
.bi-arrow-down-up::before { content: "\f127"; }
.bi-arrow-down::before { content: "\f128"; }
.bi-arrow-left-circle-fill::before { content: "\f129"; }
.bi-arrow-left-circle::before { content: "\f12a"; }
.bi-arrow-left-right::before { content: "\f12b"; }
.bi-arrow-left-short::before { content: "\f12c"; }
.bi-arrow-left-square-fill::before { content: "\f12d"; }
.bi-arrow-left-square::before { content: "\f12e"; }
.bi-arrow-left::before { content: "\f12f"; }
.bi-arrow-repeat::before { content: "\f130"; }
.bi-arrow-return-left::before { content: "\f131"; }
.bi-arrow-return-right::before { content: "\f132"; }
.bi-arrow-right-circle-fill::before { content: "\f133"; }
.bi-arrow-right-circle::before { content: "\f134"; }
.bi-arrow-right-short::before { content: "\f135"; }
.bi-arrow-right-square-fill::before { content: "\f136"; }
.bi-arrow-right-square::before { content: "\f137"; }
.bi-arrow-right::before { content: "\f138"; }
.bi-arrow-up-circle-fill::before { content: "\f139"; }
.bi-arrow-up-circle::before { content: "\f13a"; }
.bi-arrow-up-left-circle-fill::before { content: "\f13b"; }
.bi-arrow-up-left-circle::before { content: "\f13c"; }
.bi-arrow-up-left-square-fill::before { content: "\f13d"; }
.bi-arrow-up-left-square::before { content: "\f13e"; }
.bi-arrow-up-left::before { content: "\f13f"; }
.bi-arrow-up-right-circle-fill::before { content: "\f140"; }
.bi-arrow-up-right-circle::before { content: "\f141"; }
.bi-arrow-up-right-square-fill::before { content: "\f142"; }
.bi-arrow-up-right-square::before { content: "\f143"; }
.bi-arrow-up-right::before { content: "\f144"; }
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.bi-4-square::before { content: "\f7ab"; }
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.bi-5-circle-fill-1::before { content: "\f7ad"; }
.bi-5-circle-fill::before { content: "\f7ae"; }
.bi-5-circle::before { content: "\f7af"; }
.bi-5-square-fill::before { content: "\f7b0"; }
.bi-5-square::before { content: "\f7b1"; }
.bi-6-circle-1::before { content: "\f7b2"; }
.bi-6-circle-fill-1::before { content: "\f7b3"; }
.bi-6-circle-fill::before { content: "\f7b4"; }
.bi-6-circle::before { content: "\f7b5"; }
.bi-6-square-fill::before { content: "\f7b6"; }
.bi-6-square::before { content: "\f7b7"; }
.bi-7-circle-1::before { content: "\f7b8"; }
.bi-7-circle-fill-1::before { content: "\f7b9"; }
.bi-7-circle-fill::before { content: "\f7ba"; }
.bi-7-circle::before { content: "\f7bb"; }
.bi-7-square-fill::before { content: "\f7bc"; }
.bi-7-square::before { content: "\f7bd"; }
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.bi-8-circle-fill-1::before { content: "\f7bf"; }
.bi-8-circle-fill::before { content: "\f7c0"; }
.bi-8-circle::before { content: "\f7c1"; }
.bi-8-square-fill::before { content: "\f7c2"; }
.bi-8-square::before { content: "\f7c3"; }
.bi-9-circle-1::before { content: "\f7c4"; }
.bi-9-circle-fill-1::before { content: "\f7c5"; }
.bi-9-circle-fill::before { content: "\f7c6"; }
.bi-9-circle::before { content: "\f7c7"; }
.bi-9-square-fill::before { content: "\f7c8"; }
.bi-9-square::before { content: "\f7c9"; }
.bi-airplane-engines-fill::before { content: "\f7ca"; }
.bi-airplane-engines::before { content: "\f7cb"; }
.bi-airplane-fill::before { content: "\f7cc"; }
.bi-airplane::before { content: "\f7cd"; }
.bi-alexa::before { content: "\f7ce"; }
.bi-alipay::before { content: "\f7cf"; }
.bi-android::before { content: "\f7d0"; }
.bi-android2::before { content: "\f7d1"; }
.bi-box-fill::before { content: "\f7d2"; }
.bi-box-seam-fill::before { content: "\f7d3"; }
.bi-browser-chrome::before { content: "\f7d4"; }
.bi-browser-edge::before { content: "\f7d5"; }
.bi-browser-firefox::before { content: "\f7d6"; }
.bi-browser-safari::before { content: "\f7d7"; }
.bi-c-circle-1::before { content: "\f7d8"; }
.bi-c-circle-fill-1::before { content: "\f7d9"; }
.bi-c-circle-fill::before { content: "\f7da"; }
.bi-c-circle::before { content: "\f7db"; }
.bi-c-square-fill::before { content: "\f7dc"; }
.bi-c-square::before { content: "\f7dd"; }
.bi-capsule-pill::before { content: "\f7de"; }
.bi-capsule::before { content: "\f7df"; }
.bi-car-front-fill::before { content: "\f7e0"; }
.bi-car-front::before { content: "\f7e1"; }
.bi-cassette-fill::before { content: "\f7e2"; }
.bi-cassette::before { content: "\f7e3"; }
.bi-cc-circle-1::before { content: "\f7e4"; }
.bi-cc-circle-fill-1::before { content: "\f7e5"; }
.bi-cc-circle-fill::before { content: "\f7e6"; }
.bi-cc-circle::before { content: "\f7e7"; }
.bi-cc-square-fill::before { content: "\f7e8"; }
.bi-cc-square::before { content: "\f7e9"; }
.bi-cup-hot-fill::before { content: "\f7ea"; }
.bi-cup-hot::before { content: "\f7eb"; }
.bi-currency-rupee::before { content: "\f7ec"; }
.bi-dropbox::before { content: "\f7ed"; }
.bi-escape::before { content: "\f7ee"; }
.bi-fast-forward-btn-fill::before { content: "\f7ef"; }
.bi-fast-forward-btn::before { content: "\f7f0"; }
.bi-fast-forward-circle-fill::before { content: "\f7f1"; }
.bi-fast-forward-circle::before { content: "\f7f2"; }
.bi-fast-forward-fill::before { content: "\f7f3"; }
.bi-fast-forward::before { content: "\f7f4"; }
.bi-filetype-sql::before { content: "\f7f5"; }
.bi-fire::before { content: "\f7f6"; }
.bi-google-play::before { content: "\f7f7"; }
.bi-h-circle-1::before { content: "\f7f8"; }
.bi-h-circle-fill-1::before { content: "\f7f9"; }
.bi-h-circle-fill::before { content: "\f7fa"; }
.bi-h-circle::before { content: "\f7fb"; }
.bi-h-square-fill::before { content: "\f7fc"; }
.bi-h-square::before { content: "\f7fd"; }
.bi-indent::before { content: "\f7fe"; }
.bi-lungs-fill::before { content: "\f7ff"; }
.bi-lungs::before { content: "\f800"; }
.bi-microsoft-teams::before { content: "\f801"; }
.bi-p-circle-1::before { content: "\f802"; }
.bi-p-circle-fill-1::before { content: "\f803"; }
.bi-p-circle-fill::before { content: "\f804"; }
.bi-p-circle::before { content: "\f805"; }
.bi-p-square-fill::before { content: "\f806"; }
.bi-p-square::before { content: "\f807"; }
.bi-pass-fill::before { content: "\f808"; }
.bi-pass::before { content: "\f809"; }
.bi-prescription::before { content: "\f80a"; }
.bi-prescription2::before { content: "\f80b"; }
.bi-r-circle-1::before { content: "\f80c"; }
.bi-r-circle-fill-1::before { content: "\f80d"; }
.bi-r-circle-fill::before { content: "\f80e"; }
.bi-r-circle::before { content: "\f80f"; }
.bi-r-square-fill::before { content: "\f810"; }
.bi-r-square::before { content: "\f811"; }
.bi-repeat-1::before { content: "\f812"; }
.bi-repeat::before { content: "\f813"; }
.bi-rewind-btn-fill::before { content: "\f814"; }
.bi-rewind-btn::before { content: "\f815"; }
.bi-rewind-circle-fill::before { content: "\f816"; }
.bi-rewind-circle::before { content: "\f817"; }
.bi-rewind-fill::before { content: "\f818"; }
.bi-rewind::before { content: "\f819"; }
.bi-train-freight-front-fill::before { content: "\f81a"; }
.bi-train-freight-front::before { content: "\f81b"; }
.bi-train-front-fill::before { content: "\f81c"; }
.bi-train-front::before { content: "\f81d"; }
.bi-train-lightrail-front-fill::before { content: "\f81e"; }
.bi-train-lightrail-front::before { content: "\f81f"; }
.bi-truck-front-fill::before { content: "\f820"; }
.bi-truck-front::before { content: "\f821"; }
.bi-ubuntu::before { content: "\f822"; }
.bi-unindent::before { content: "\f823"; }
.bi-unity::before { content: "\f824"; }
.bi-universal-access-circle::before { content: "\f825"; }
.bi-universal-access::before { content: "\f826"; }
.bi-virus::before { content: "\f827"; }
.bi-virus2::before { content: "\f828"; }
.bi-wechat::before { content: "\f829"; }
.bi-yelp::before { content: "\f82a"; }
.bi-sign-stop-fill::before { content: "\f82b"; }
.bi-sign-stop-lights-fill::before { content: "\f82c"; }
.bi-sign-stop-lights::before { content: "\f82d"; }
.bi-sign-stop::before { content: "\f82e"; }
.bi-sign-turn-left-fill::before { content: "\f82f"; }
.bi-sign-turn-left::before { content: "\f830"; }
.bi-sign-turn-right-fill::before { content: "\f831"; }
.bi-sign-turn-right::before { content: "\f832"; }
.bi-sign-turn-slight-left-fill::before { content: "\f833"; }
.bi-sign-turn-slight-left::before { content: "\f834"; }
.bi-sign-turn-slight-right-fill::before { content: "\f835"; }
.bi-sign-turn-slight-right::before { content: "\f836"; }
.bi-sign-yield-fill::before { content: "\f837"; }
.bi-sign-yield::before { content: "\f838"; }
.bi-ev-station-fill::before { content: "\f839"; }
.bi-ev-station::before { content: "\f83a"; }
.bi-fuel-pump-diesel-fill::before { content: "\f83b"; }
.bi-fuel-pump-diesel::before { content: "\f83c"; }
.bi-fuel-pump-fill::before { content: "\f83d"; }
.bi-fuel-pump::before { content: "\f83e"; }
.bi-0-circle-fill::before { content: "\f83f"; }
.bi-0-circle::before { content: "\f840"; }
.bi-0-square-fill::before { content: "\f841"; }
.bi-0-square::before { content: "\f842"; }
.bi-rocket-fill::before { content: "\f843"; }
.bi-rocket-takeoff-fill::before { content: "\f844"; }
.bi-rocket-takeoff::before { content: "\f845"; }
.bi-rocket::before { content: "\f846"; }
.bi-stripe::before { content: "\f847"; }
.bi-subscript::before { content: "\f848"; }
.bi-superscript::before { content: "\f849"; }
.bi-trello::before { content: "\f84a"; }
.bi-envelope-at-fill::before { content: "\f84b"; }
.bi-envelope-at::before { content: "\f84c"; }
.bi-regex::before { content: "\f84d"; }
.bi-text-wrap::before { content: "\f84e"; }
.bi-sign-dead-end-fill::before { content: "\f84f"; }
.bi-sign-dead-end::before { content: "\f850"; }
.bi-sign-do-not-enter-fill::before { content: "\f851"; }
.bi-sign-do-not-enter::before { content: "\f852"; }
.bi-sign-intersection-fill::before { content: "\f853"; }
.bi-sign-intersection-side-fill::before { content: "\f854"; }
.bi-sign-intersection-side::before { content: "\f855"; }
.bi-sign-intersection-t-fill::before { content: "\f856"; }
.bi-sign-intersection-t::before { content: "\f857"; }
.bi-sign-intersection-y-fill::before { content: "\f858"; }
.bi-sign-intersection-y::before { content: "\f859"; }
.bi-sign-intersection::before { content: "\f85a"; }
.bi-sign-merge-left-fill::before { content: "\f85b"; }
.bi-sign-merge-left::before { content: "\f85c"; }
.bi-sign-merge-right-fill::before { content: "\f85d"; }
.bi-sign-merge-right::before { content: "\f85e"; }
.bi-sign-no-left-turn-fill::before { content: "\f85f"; }
.bi-sign-no-left-turn::before { content: "\f860"; }
.bi-sign-no-parking-fill::before { content: "\f861"; }
.bi-sign-no-parking::before { content: "\f862"; }
.bi-sign-no-right-turn-fill::before { content: "\f863"; }
.bi-sign-no-right-turn::before { content: "\f864"; }
.bi-sign-railroad-fill::before { content: "\f865"; }
.bi-sign-railroad::before { content: "\f866"; }
.bi-building-add::before { content: "\f867"; }
.bi-building-check::before { content: "\f868"; }
.bi-building-dash::before { content: "\f869"; }
.bi-building-down::before { content: "\f86a"; }
.bi-building-exclamation::before { content: "\f86b"; }
.bi-building-fill-add::before { content: "\f86c"; }
.bi-building-fill-check::before { content: "\f86d"; }
.bi-building-fill-dash::before { content: "\f86e"; }
.bi-building-fill-down::before { content: "\f86f"; }
.bi-building-fill-exclamation::before { content: "\f870"; }
.bi-building-fill-gear::before { content: "\f871"; }
.bi-building-fill-lock::before { content: "\f872"; }
.bi-building-fill-slash::before { content: "\f873"; }
.bi-building-fill-up::before { content: "\f874"; }
.bi-building-fill-x::before { content: "\f875"; }
.bi-building-fill::before { content: "\f876"; }
.bi-building-gear::before { content: "\f877"; }
.bi-building-lock::before { content: "\f878"; }
.bi-building-slash::before { content: "\f879"; }
.bi-building-up::before { content: "\f87a"; }
.bi-building-x::before { content: "\f87b"; }
.bi-buildings-fill::before { content: "\f87c"; }
.bi-buildings::before { content: "\f87d"; }
.bi-bus-front-fill::before { content: "\f87e"; }
.bi-bus-front::before { content: "\f87f"; }
.bi-ev-front-fill::before { content: "\f880"; }
.bi-ev-front::before { content: "\f881"; }
.bi-globe-americas::before { content: "\f882"; }
.bi-globe-asia-australia::before { content: "\f883"; }
.bi-globe-central-south-asia::before { content: "\f884"; }
.bi-globe-europe-africa::before { content: "\f885"; }
.bi-house-add-fill::before { content: "\f886"; }
.bi-house-add::before { content: "\f887"; }
.bi-house-check-fill::before { content: "\f888"; }
.bi-house-check::before { content: "\f889"; }
.bi-house-dash-fill::before { content: "\f88a"; }
.bi-house-dash::before { content: "\f88b"; }
.bi-house-down-fill::before { content: "\f88c"; }
.bi-house-down::before { content: "\f88d"; }
.bi-house-exclamation-fill::before { content: "\f88e"; }
.bi-house-exclamation::before { content: "\f88f"; }
.bi-house-gear-fill::before { content: "\f890"; }
.bi-house-gear::before { content: "\f891"; }
.bi-house-lock-fill::before { content: "\f892"; }
.bi-house-lock::before { content: "\f893"; }
.bi-house-slash-fill::before { content: "\f894"; }
.bi-house-slash::before { content: "\f895"; }
.bi-house-up-fill::before { content: "\f896"; }
.bi-house-up::before { content: "\f897"; }
.bi-house-x-fill::before { content: "\f898"; }
.bi-house-x::before { content: "\f899"; }
.bi-person-add::before { content: "\f89a"; }
.bi-person-down::before { content: "\f89b"; }
.bi-person-exclamation::before { content: "\f89c"; }
.bi-person-fill-add::before { content: "\f89d"; }
.bi-person-fill-check::before { content: "\f89e"; }
.bi-person-fill-dash::before { content: "\f89f"; }
.bi-person-fill-down::before { content: "\f8a0"; }
.bi-person-fill-exclamation::before { content: "\f8a1"; }
.bi-person-fill-gear::before { content: "\f8a2"; }
.bi-person-fill-lock::before { content: "\f8a3"; }
.bi-person-fill-slash::before { content: "\f8a4"; }
.bi-person-fill-up::before { content: "\f8a5"; }
.bi-person-fill-x::before { content: "\f8a6"; }
.bi-person-gear::before { content: "\f8a7"; }
.bi-person-lock::before { content: "\f8a8"; }
.bi-person-slash::before { content: "\f8a9"; }
.bi-person-up::before { content: "\f8aa"; }
.bi-scooter::before { content: "\f8ab"; }
.bi-taxi-front-fill::before { content: "\f8ac"; }
.bi-taxi-front::before { content: "\f8ad"; }
.bi-amd::before { content: "\f8ae"; }
.bi-database-add::before { content: "\f8af"; }
.bi-database-check::before { content: "\f8b0"; }
.bi-database-dash::before { content: "\f8b1"; }
.bi-database-down::before { content: "\f8b2"; }
.bi-database-exclamation::before { content: "\f8b3"; }
.bi-database-fill-add::before { content: "\f8b4"; }
.bi-database-fill-check::before { content: "\f8b5"; }
.bi-database-fill-dash::before { content: "\f8b6"; }
.bi-database-fill-down::before { content: "\f8b7"; }
.bi-database-fill-exclamation::before { content: "\f8b8"; }
.bi-database-fill-gear::before { content: "\f8b9"; }
.bi-database-fill-lock::before { content: "\f8ba"; }
.bi-database-fill-slash::before { content: "\f8bb"; }
.bi-database-fill-up::before { content: "\f8bc"; }
.bi-database-fill-x::before { content: "\f8bd"; }
.bi-database-fill::before { content: "\f8be"; }
.bi-database-gear::before { content: "\f8bf"; }
.bi-database-lock::before { content: "\f8c0"; }
.bi-database-slash::before { content: "\f8c1"; }
.bi-database-up::before { content: "\f8c2"; }
.bi-database-x::before { content: "\f8c3"; }
.bi-database::before { content: "\f8c4"; }
.bi-houses-fill::before { content: "\f8c5"; }
.bi-houses::before { content: "\f8c6"; }
.bi-nvidia::before { content: "\f8c7"; }
.bi-person-vcard-fill::before { content: "\f8c8"; }
.bi-person-vcard::before { content: "\f8c9"; }
.bi-sina-weibo::before { content: "\f8ca"; }
.bi-tencent-qq::before { content: "\f8cb"; }
.bi-wikipedia::before { content: "\f8cc"; }
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  <nav id="TOC" role="doc-toc" class="toc-active">
    <h2 id="toc-title">Table of contents</h2>
   
  <ul>
  <li><a href="#general" id="toc-general" class="nav-link active" data-scroll-target="#general">General</a>
  <ul class="collapse">
  <li><a href="#scripts" id="toc-scripts" class="nav-link" data-scroll-target="#scripts">Scripts</a></li>
  <li><a href="#data" id="toc-data" class="nav-link" data-scroll-target="#data">Data</a></li>
  </ul></li>
  <li><a href="#cleaning" id="toc-cleaning" class="nav-link" data-scroll-target="#cleaning">Cleaning</a>
  <ul class="collapse">
  <li><a href="#party-characteristics" id="toc-party-characteristics" class="nav-link" data-scroll-target="#party-characteristics">Party characteristics</a>
  <ul class="collapse">
  <li><a href="#code" id="toc-code" class="nav-link" data-scroll-target="#code">Code</a></li>
  </ul></li>
  <li><a href="#extreme-weather-events" id="toc-extreme-weather-events" class="nav-link" data-scroll-target="#extreme-weather-events">Extreme weather events</a></li>
  <li><a href="#press-releases" id="toc-press-releases" class="nav-link" data-scroll-target="#press-releases">Press releases</a>
  <ul class="collapse">
  <li><a href="#scope-of-the-data-collection" id="toc-scope-of-the-data-collection" class="nav-link" data-scroll-target="#scope-of-the-data-collection">Scope of the data collection</a></li>
  <li><a href="#classification" id="toc-classification" class="nav-link" data-scroll-target="#classification">Classification</a></li>
  <li><a href="#coding-instructions-for-category-7-environment" id="toc-coding-instructions-for-category-7-environment" class="nav-link" data-scroll-target="#coding-instructions-for-category-7-environment">Coding instructions for Category 7: <em>Environment</em></a></li>
  <li><a href="#data-wrangling" id="toc-data-wrangling" class="nav-link" data-scroll-target="#data-wrangling">Data wrangling</a></li>
  <li><a href="#code-1" id="toc-code-1" class="nav-link" data-scroll-target="#code-1">Code</a></li>
  </ul></li>
  </ul></li>
  <li><a href="#main-analysis" id="toc-main-analysis" class="nav-link" data-scroll-target="#main-analysis">Main Analysis</a>
  <ul class="collapse">
  <li><a href="#code-2" id="toc-code-2" class="nav-link" data-scroll-target="#code-2">Code</a></li>
  </ul></li>
  <li><a href="#extended-data" id="toc-extended-data" class="nav-link" data-scroll-target="#extended-data">Extended Data</a>
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  <li><a href="#longer-time-horizon" id="toc-longer-time-horizon" class="nav-link" data-scroll-target="#longer-time-horizon">Longer time horizon</a></li>
  <li><a href="#climate-dictionary" id="toc-climate-dictionary" class="nav-link" data-scroll-target="#climate-dictionary">Climate dictionary</a></li>
  <li><a href="#spillover-effects" id="toc-spillover-effects" class="nav-link" data-scroll-target="#spillover-effects">Spillover effects</a></li>
  <li><a href="#green-party-representation" id="toc-green-party-representation" class="nav-link" data-scroll-target="#green-party-representation">Green party representation</a></li>
  <li><a href="#relief" id="toc-relief" class="nav-link" data-scroll-target="#relief">Relief</a></li>
  </ul></li>
  <li><a href="#r-session-info" id="toc-r-session-info" class="nav-link" data-scroll-target="#r-session-info">R session info</a></li>
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<main class="content" id="quarto-document-content">

<header id="title-block-header" class="quarto-title-block default">
<div class="quarto-title">
<h1 class="title">Extreme weather events do not increase political parties’ environmental attention</h1>
<p class="subtitle lead">Replication Guide</p>
</div>


<div class="quarto-title-meta-author">
  <div class="quarto-title-meta-heading">Authors</div>
  <div class="quarto-title-meta-heading">Affiliations</div>
  
    <div class="quarto-title-meta-contents">
    <p class="author">Tim Wappenhans <a href="https://orcid.org/0000-0001-8903-5477" class="quarto-title-author-orcid"> <img src="data:image/png;base64,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"></a></p>
  </div>
    <div class="quarto-title-meta-contents">
        <p class="affiliation">
            Institute of Social Sciences, Humboldt University Berlin, 10117 Berlin, Germany
          </p>
      </div>
      <div class="quarto-title-meta-contents">
    <p class="author">António Valentim <a href="https://orcid.org/0000-0001-8937-9181" class="quarto-title-author-orcid"> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAA2ZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuMC1jMDYwIDYxLjEzNDc3NywgMjAxMC8wMi8xMi0xNzozMjowMCAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0ieG1wLmRpZDo1N0NEMjA4MDI1MjA2ODExOTk0QzkzNTEzRjZEQTg1NyIgeG1wTU06RG9jdW1lbnRJRD0ieG1wLmRpZDozM0NDOEJGNEZGNTcxMUUxODdBOEVCODg2RjdCQ0QwOSIgeG1wTU06SW5zdGFuY2VJRD0ieG1wLmlpZDozM0NDOEJGM0ZGNTcxMUUxODdBOEVCODg2RjdCQ0QwOSIgeG1wOkNyZWF0b3JUb29sPSJBZG9iZSBQaG90b3Nob3AgQ1M1IE1hY2ludG9zaCI+IDx4bXBNTTpEZXJpdmVkRnJvbSBzdFJlZjppbnN0YW5jZUlEPSJ4bXAuaWlkOkZDN0YxMTc0MDcyMDY4MTE5NUZFRDc5MUM2MUUwNEREIiBzdFJlZjpkb2N1bWVudElEPSJ4bXAuZGlkOjU3Q0QyMDgwMjUyMDY4MTE5OTRDOTM1MTNGNkRBODU3Ii8+IDwvcmRmOkRlc2NyaXB0aW9uPiA8L3JkZjpSREY+IDwveDp4bXBtZXRhPiA8P3hwYWNrZXQgZW5kPSJyIj8+84NovQAAAR1JREFUeNpiZEADy85ZJgCpeCB2QJM6AMQLo4yOL0AWZETSqACk1gOxAQN+cAGIA4EGPQBxmJA0nwdpjjQ8xqArmczw5tMHXAaALDgP1QMxAGqzAAPxQACqh4ER6uf5MBlkm0X4EGayMfMw/Pr7Bd2gRBZogMFBrv01hisv5jLsv9nLAPIOMnjy8RDDyYctyAbFM2EJbRQw+aAWw/LzVgx7b+cwCHKqMhjJFCBLOzAR6+lXX84xnHjYyqAo5IUizkRCwIENQQckGSDGY4TVgAPEaraQr2a4/24bSuoExcJCfAEJihXkWDj3ZAKy9EJGaEo8T0QSxkjSwORsCAuDQCD+QILmD1A9kECEZgxDaEZhICIzGcIyEyOl2RkgwAAhkmC+eAm0TAAAAABJRU5ErkJggg=="></a></p>
  </div>
    <div class="quarto-title-meta-contents">
        <p class="affiliation">
            MacMillan Center, Yale University, 115 Prospect Street, New Haven 06511 CT, USA
          </p>
      </div>
      <div class="quarto-title-meta-contents">
    <p class="author">Heike Klüver <a href="https://orcid.org/0000-0003-4838-0754" class="quarto-title-author-orcid"> <img src="data:image/png;base64,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"></a></p>
  </div>
    <div class="quarto-title-meta-contents">
        <p class="affiliation">
            Institute of Social Sciences, Humboldt University Berlin, 10117 Berlin, Germany
          </p>
      </div>
      <div class="quarto-title-meta-contents">
    <p class="author">Lukas F. Stoetzer <a href="https://orcid.org/0000-0003-2486-7496" class="quarto-title-author-orcid"> <img src="data:image/png;base64,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"></a></p>
  </div>
    <div class="quarto-title-meta-contents">
        <p class="affiliation">
            Department for Philosophy, Politics, and Economics, Witten/Herdecke University, 58455 Witten, Germany
          </p>
      </div>
    </div>

<div class="quarto-title-meta">

      
  
    
  </div>
  

</header>

<p>Please send correspondence to <a href="mailto:tim.wappenhans@hu-berlin.de">tim.wappenhans@hu-berlin.de</a></p>
<section id="general" class="level1">
<h1>General</h1>
<p>This replication folder contains the following files (see script files for additional documentation):</p>
<section id="scripts" class="level3">
<h3 class="anchored" data-anchor-id="scripts">Scripts</h3>
<ul>
<li><code>scripts/01_cleaning_cabinets.R</code>: R script for cleaning party-information</li>
<li><code>scripts/01_cleaning_partydays.R</code>: R script for cleaning press release data; joining party and extreme weather event information</li>
<li><code>scripts/02_aggregate.R</code>: R script for aggregating press release data</li>
<li><code>scripts/03_analysis.R</code>: R script for replicating the main analysis</li>
<li><code>scripts/04_robustness_months.R</code>: R script for replicating robustness analysis over months instead of weeks</li>
<li><code>scripts/04_robustness_dictionary_climate.R</code>: R script for replicating robustness analysis based on climate dictionary</li>
<li><code>scripts/04_robustness_spillover.R</code>: R script for replicating robustness analysis based on alternative identification strategy</li>
<li><code>scripts/04_robustness_greens.R</code>: R script for replicating robustness analysis distinguishing between party systems with and without Green party representation</li>
<li><code>scripts/04_robustness_dictionary_relief.R</code>: R script for replicating robustness analysis based on relief dictionary</li>
</ul>
</section>
<section id="data" class="level3">
<h3 class="anchored" data-anchor-id="data">Data</h3>
<ul>
<li><code>data/data_input/partypress.csv</code>: classified press releases</li>
<li><code>data/data_input/view_cabinet.csv</code>: ParlGov data on governments</li>
<li><code>data/data_input/view_party.csv</code>: ParlGov data on parties</li>
<li><code>data/data_output/daily_dictionary_climate.csv</code>: cleaned data based on dictionary classification (due to copyright issues, we cannot publish the content and cleaning of press release contents)</li>
<li><code>data/data_output/daily_dictionary_relief.csv</code>: cleaned data based on dictionary classification (due to copyright issues, we cannot publish the content and cleaning of press release contents)</li>
<li><code>data/data_output/disasters_daily.csv</code>: cleaned data on extreme weather events</li>
<li><code>data/data_output/cabinet_daily.csv</code>: cleaned data on parties and governments</li>
<li><code>data/data_output/press_daily.csv</code>: cleaned combined data in party*day format</li>
<li><code>data/data_output/press_weekly.csv</code>: cleaned combined data in party*week format</li>
<li><code>data/data_output/press_monthly.csv</code>: cleaned combined data in party*month format</li>
</ul>
</section>
</section>
<section id="cleaning" class="level1">
<h1>Cleaning</h1>
<section id="party-characteristics" class="level2">
<h2 class="anchored" data-anchor-id="party-characteristics">Party characteristics</h2>
<p>Cabinet and party characteristics are retrieved from the <em>ParlGov Dataverse</em> <a href="https://www.parlgov.org">here</a> and stored under <code>data/data_input/view_cabinet.csv</code> and <code>data/data_input/view_party.csv</code>.</p>
<p>The data has been cleaned with the script <code>scripts/01_cleaning_cabinets.R</code> which yields daily information on government participation for each party, stored under <code>data/data_output/cabinet_daily.csv</code>.</p>
<section id="code" class="level3">
<h3 class="anchored" data-anchor-id="code">Code</h3>
<div class="cell">
<details>
<summary>Show code: scripts/01_cleaning_cabinets.R</summary>
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Extreme weather events do not increase political parties&#39; environmental attention</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;   This script </span></span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;    &gt; cleans ParlGov Cabinet Data into party*day format</span></span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="co"># Tim Wappenhans, António Valentim, Heike Klüver, and Lukas F. Stoetzer</span></span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="co"># First: 23-02-2023</span></span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="co"># Last: 14-02-2024</span></span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES ---------------------------------------------------------------------</span></span>
<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a>  lubridate,</span>
<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a>  stringi,</span>
<span id="cb1-17"><a href="#cb1-17" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb1-18"><a href="#cb1-18" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb1-19"><a href="#cb1-19" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-20"><a href="#cb1-20" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-21"><a href="#cb1-21" aria-hidden="true" tabindex="-1"></a><span class="co"># CLEANING ---------------------------------------------------------------------</span></span>
<span id="cb1-22"><a href="#cb1-22" aria-hidden="true" tabindex="-1"></a><span class="co"># get all countries observed</span></span>
<span id="cb1-23"><a href="#cb1-23" aria-hidden="true" tabindex="-1"></a>country_name_list <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_input/partypress.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb1-24"><a href="#cb1-24" aria-hidden="true" tabindex="-1"></a>  <span class="fu">distinct</span>(country_name) <span class="sc">|&gt;</span> </span>
<span id="cb1-25"><a href="#cb1-25" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pull</span>()</span>
<span id="cb1-26"><a href="#cb1-26" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-27"><a href="#cb1-27" aria-hidden="true" tabindex="-1"></a><span class="co"># filter Parlgov Database accordingly</span></span>
<span id="cb1-28"><a href="#cb1-28" aria-hidden="true" tabindex="-1"></a>df.cabinet_party <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_input/view_cabinet.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb1-29"><a href="#cb1-29" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb1-30"><a href="#cb1-30" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bring into press release format</span></span>
<span id="cb1-31"><a href="#cb1-31" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb1-32"><a href="#cb1-32" aria-hidden="true" tabindex="-1"></a>    <span class="at">election_date =</span> <span class="fu">as.Date</span>(election_date),</span>
<span id="cb1-33"><a href="#cb1-33" aria-hidden="true" tabindex="-1"></a>    <span class="at">country_name =</span> <span class="fu">tolower</span>(country_name),</span>
<span id="cb1-34"><a href="#cb1-34" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> party_id,</span>
<span id="cb1-35"><a href="#cb1-35" aria-hidden="true" tabindex="-1"></a>    <span class="at">country_name =</span> <span class="fu">ifelse</span>(country_name <span class="sc">==</span> <span class="st">&quot;united kingdom&quot;</span>, </span>
<span id="cb1-36"><a href="#cb1-36" aria-hidden="true" tabindex="-1"></a>                               <span class="st">&quot;uk&quot;</span>, country_name)</span>
<span id="cb1-37"><a href="#cb1-37" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb1-38"><a href="#cb1-38" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb1-39"><a href="#cb1-39" aria-hidden="true" tabindex="-1"></a>  <span class="co"># filter only relevant time horizon and countries</span></span>
<span id="cb1-40"><a href="#cb1-40" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(</span>
<span id="cb1-41"><a href="#cb1-41" aria-hidden="true" tabindex="-1"></a>    election_date <span class="sc">&gt;</span> <span class="fu">as.Date</span>(<span class="st">&quot;2000-01-01&quot;</span>),</span>
<span id="cb1-42"><a href="#cb1-42" aria-hidden="true" tabindex="-1"></a>    country_name <span class="sc">%in%</span> country_name_list</span>
<span id="cb1-43"><a href="#cb1-43" aria-hidden="true" tabindex="-1"></a>    ) </span>
<span id="cb1-44"><a href="#cb1-44" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-45"><a href="#cb1-45" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-46"><a href="#cb1-46" aria-hidden="true" tabindex="-1"></a><span class="co"># GOVT&#39; VS OPPOSITION ----------------------------------------------------------</span></span>
<span id="cb1-47"><a href="#cb1-47" aria-hidden="true" tabindex="-1"></a><span class="co"># get end date of each cabinet </span></span>
<span id="cb1-48"><a href="#cb1-48" aria-hidden="true" tabindex="-1"></a>df.cabinet <span class="ot">&lt;-</span> df.cabinet_party <span class="sc">|&gt;</span></span>
<span id="cb1-49"><a href="#cb1-49" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name) <span class="sc">|&gt;</span> </span>
<span id="cb1-50"><a href="#cb1-50" aria-hidden="true" tabindex="-1"></a>  <span class="fu">distinct</span>(country_name, cabinet_id, election_date, start_date) <span class="sc">|&gt;</span> </span>
<span id="cb1-51"><a href="#cb1-51" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">end_date =</span> dplyr<span class="sc">::</span><span class="fu">lead</span>(start_date,</span>
<span id="cb1-52"><a href="#cb1-52" aria-hidden="true" tabindex="-1"></a>                                <span class="at">default =</span> <span class="fu">as.Date</span>(<span class="st">&quot;2022-01-01&quot;</span>)) <span class="sc">-</span> <span class="fu">days</span>(<span class="dv">1</span>)) </span>
<span id="cb1-53"><a href="#cb1-53" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-54"><a href="#cb1-54" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-55"><a href="#cb1-55" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-56"><a href="#cb1-56" aria-hidden="true" tabindex="-1"></a><span class="co"># merge parties and their govt&#39;/opposition status back to cabinets</span></span>
<span id="cb1-57"><a href="#cb1-57" aria-hidden="true" tabindex="-1"></a>df.cabinet_party <span class="ot">&lt;-</span> df.cabinet_party <span class="sc">|&gt;</span> </span>
<span id="cb1-58"><a href="#cb1-58" aria-hidden="true" tabindex="-1"></a>  <span class="fu">distinct</span>(cabinet_id, parlgov_id, cabinet_party)</span>
<span id="cb1-59"><a href="#cb1-59" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-60"><a href="#cb1-60" aria-hidden="true" tabindex="-1"></a>df.cabinet <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.cabinet, df.cabinet_party,</span>
<span id="cb1-61"><a href="#cb1-61" aria-hidden="true" tabindex="-1"></a>                         <span class="at">by =</span> <span class="st">&quot;cabinet_id&quot;</span>)</span>
<span id="cb1-62"><a href="#cb1-62" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-63"><a href="#cb1-63" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-64"><a href="#cb1-64" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-65"><a href="#cb1-65" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPANDING -------------------------------------------------------------------- </span></span>
<span id="cb1-66"><a href="#cb1-66" aria-hidden="true" tabindex="-1"></a><span class="co"># expand to create party*days</span></span>
<span id="cb1-67"><a href="#cb1-67" aria-hidden="true" tabindex="-1"></a>df.cabinet <span class="ot">&lt;-</span> df.cabinet <span class="sc">|&gt;</span> </span>
<span id="cb1-68"><a href="#cb1-68" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(cabinet_id, parlgov_id) <span class="sc">|&gt;</span> </span>
<span id="cb1-69"><a href="#cb1-69" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">date =</span> <span class="fu">list</span>(<span class="fu">seq.Date</span>(start_date, end_date, <span class="at">by =</span> <span class="st">&quot;day&quot;</span>)))  <span class="sc">|&gt;</span> </span>
<span id="cb1-70"><a href="#cb1-70" aria-hidden="true" tabindex="-1"></a>  <span class="fu">unnest</span>(<span class="at">cols =</span> <span class="fu">c</span>(date)) </span>
<span id="cb1-71"><a href="#cb1-71" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-72"><a href="#cb1-72" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-73"><a href="#cb1-73" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-74"><a href="#cb1-74" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb1-75"><a href="#cb1-75" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(df.cabinet,</span>
<span id="cb1-76"><a href="#cb1-76" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/cabinet_daily.csv&quot;</span>))</span>
<span id="cb1-77"><a href="#cb1-77" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-78"><a href="#cb1-78" aria-hidden="true" tabindex="-1"></a><span class="co"># </span><span class="re">END</span><span class="co"> --------------------------------------------------------------------------</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
</section>
<section id="extreme-weather-events" class="level2">
<h2 class="anchored" data-anchor-id="extreme-weather-events">Extreme weather events</h2>
<p>We obtained information on extreme weather events from the <em>Emergency Events Database</em> (EM-DAT) from <a href="https://www.emdat.be/">here</a>. Because data access requires prior registration with the site, we only share relevant extreme weather events from the time and countries under investigation in daily form here <code>data/data_output/disasters_daily.csv</code>.</p>
</section>
<section id="press-releases" class="level2">
<h2 class="anchored" data-anchor-id="press-releases">Press releases</h2>
<section id="scope-of-the-data-collection" class="level3">
<h3 class="anchored" data-anchor-id="scope-of-the-data-collection">Scope of the data collection</h3>
<p>We collected press releases from 2010 to 2020 from all nationally represented parties in 9 countries, mainly by scraping their official websites. These countries are Austria, Denmark, Germany, Ireland, the Netherlands, Poland, Spain, Sweden, and the UK. In some cases we contacted parties directly and requested a full list of their official press releases. We retrieved a total of 269,418 press releases.</p>
</section>
<section id="classification" class="level3">
<h3 class="anchored" data-anchor-id="classification">Classification</h3>
<p>Of these 269,418 press releases, we drew a random sample for each country of between 2,400 and 3,500. These were assigned to at least two native speaker coders (size of the hand-coded samples were: Austria 3,450; Denmark 2,749; Germany 2,612; Ireland 3,475; Netherlands 3,299; Poland 2,746; Spain 3,421; Sweden 2,741, UK 2,750). Each coder hand coded a random sample of at least 1,300 press releases, including an overlap sample of around 250 to 500 that was coded by both coders in the respective country to assess reliability.</p>
<p>We applied Multilingual Transformer models <span class="citation" data-cites="devlin_bert_2019">(<a href="#ref-devlin_bert_2019" role="doc-biblioref">Devlin et al. 2019</a>)</span> to classify our corpus of all press releases according to the following coding scheme <span class="citation" data-cites="erfort_partypress_2023">(for a detailed discussion of the methods applied and evaluation of the approach, see <a href="#ref-erfort_partypress_2023" role="doc-biblioref">Erfort, Stoetzer, and Klüver 2023</a>)</span> that builds on the Comparative Agendas Project (CAP) <span class="citation" data-cites="baumgartner_comparative_2019">(<a href="#ref-baumgartner_comparative_2019" role="doc-biblioref">Baumgartner, Breunig, and Grossman 2019</a>)</span>:</p>
<table class="table">
<caption>Issue categories</caption>
<thead>
<tr class="header">
<th>Issue</th>
<th>Issue Name</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>1</td>
<td>Macroeconomics</td>
</tr>
<tr class="even">
<td>2</td>
<td>Civil Rights</td>
</tr>
<tr class="odd">
<td>3</td>
<td>Health</td>
</tr>
<tr class="even">
<td>4</td>
<td>Agriculture</td>
</tr>
<tr class="odd">
<td>5</td>
<td>Labor</td>
</tr>
<tr class="even">
<td>6</td>
<td>Education</td>
</tr>
<tr class="odd">
<td>7</td>
<td>Environment</td>
</tr>
<tr class="even">
<td>8</td>
<td>Energy</td>
</tr>
<tr class="odd">
<td>9</td>
<td>Immigration</td>
</tr>
<tr class="even">
<td>10</td>
<td>Transportation</td>
</tr>
<tr class="odd">
<td>12</td>
<td>Law and Crime</td>
</tr>
<tr class="even">
<td>13</td>
<td>Social Welfare</td>
</tr>
<tr class="odd">
<td>14</td>
<td>Housing</td>
</tr>
<tr class="even">
<td>15</td>
<td>Domestic Commerce</td>
</tr>
<tr class="odd">
<td>16</td>
<td>Defense</td>
</tr>
<tr class="even">
<td>17</td>
<td>Technology</td>
</tr>
<tr class="odd">
<td>18</td>
<td>Foreign Trade</td>
</tr>
<tr class="even">
<td>19.1</td>
<td>International Affairs</td>
</tr>
<tr class="odd">
<td>19.2</td>
<td>European Integration</td>
</tr>
<tr class="even">
<td>20</td>
<td>Government Operations</td>
</tr>
<tr class="odd">
<td>23</td>
<td>Culture</td>
</tr>
<tr class="even">
<td>98</td>
<td>Non-thematic</td>
</tr>
<tr class="odd">
<td>99</td>
<td>Other</td>
</tr>
</tbody>
</table>
</section>
<section id="coding-instructions-for-category-7-environment" class="level3">
<h3 class="anchored" data-anchor-id="coding-instructions-for-category-7-environment">Coding instructions for Category 7: <em>Environment</em></h3>
<p>The instructions for human coders to classify a press release as Category 7: Environment were as follows:</p>
<blockquote class="blockquote">
<p>Sustainability and environmental policies. Regulations that prioritize the environment over economic and infrastructural aspects or vice versa. Drinking water safety, recycling and waste disposal, issues related to hazardous waste and toxic chemical regulation, treatment, and disposal. Air pollution, climate change, global warming, noise pollution and related policies. Indoor environmental hazards, indoor air contamination (including on airlines), and indoor hazardous substances such as asbestos. Species and forest preservation e.g. protection of endangered species, control of the domestic illicit trade in wildlife products, regulation of laboratory or performance animals. Environmental impact reports. Land and water conservation as well as research and development in environmental technology not including alternative energy.</p>
</blockquote>
</section>
<section id="data-wrangling" class="level3">
<h3 class="anchored" data-anchor-id="data-wrangling">Data wrangling</h3>
<p>The complete data can be found under <code>data/data_input/partypress.csv</code>. The unit of analysis here is an individual press release. However, we are interested in the share of press releases that fall into Category 7 on a given day, week, and month for each party. The R script <code>scripts/01_cleaning_partydays.R</code> creates daily counts of press releases of each category for every party, while <code>scripts/02_aggregate.R</code> creates weekly and monthly aggregates. The resulting data can be found under</p>
<ul>
<li><code>data/data_output/press_daily.csv</code></li>
<li><code>data/data_output/press_weekly.csv</code></li>
<li><code>data/data_output/press_monthly.csv</code></li>
</ul>
<p>respectively.</p>
</section>
<section id="code-1" class="level3">
<h3 class="anchored" data-anchor-id="code-1">Code</h3>
<div class="cell">
<details>
<summary>Show code: scripts/01_cleaning_partydays.R</summary>
<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES ---------------------------------------------------------------------</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>  lubridate,</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a>  here,</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a>  stringi</span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a><span class="co"># LOAD DATA --------------------------------------------------------------------</span></span>
<span id="cb2-12"><a href="#cb2-12" aria-hidden="true" tabindex="-1"></a>df.all <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_input/partypress.csv&quot;</span>))</span>
<span id="cb2-13"><a href="#cb2-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-14"><a href="#cb2-14" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-15"><a href="#cb2-15" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-16"><a href="#cb2-16" aria-hidden="true" tabindex="-1"></a><span class="co"># CLEANING INTO PARTY*DAY FORMAT -----------------------------------------------</span></span>
<span id="cb2-17"><a href="#cb2-17" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-18"><a href="#cb2-18" aria-hidden="true" tabindex="-1"></a><span class="co"># only select those who have parlgov ID and have been in parliament (valid cabinet_id)</span></span>
<span id="cb2-19"><a href="#cb2-19" aria-hidden="true" tabindex="-1"></a>parl_list <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/cabinet_daily.csv&quot;</span>))  <span class="sc">|&gt;</span>  </span>
<span id="cb2-20"><a href="#cb2-20" aria-hidden="true" tabindex="-1"></a>  <span class="fu">distinct</span>(parlgov_id) <span class="sc">|&gt;</span></span>
<span id="cb2-21"><a href="#cb2-21" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pull</span>()</span>
<span id="cb2-22"><a href="#cb2-22" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-23"><a href="#cb2-23" aria-hidden="true" tabindex="-1"></a>df.all <span class="ot">&lt;-</span> df.all <span class="sc">|&gt;</span> </span>
<span id="cb2-24"><a href="#cb2-24" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(parlgov_id <span class="sc">%in%</span> parl_list)</span>
<span id="cb2-25"><a href="#cb2-25" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-26"><a href="#cb2-26" aria-hidden="true" tabindex="-1"></a><span class="co"># Bring from event-level to party*day </span></span>
<span id="cb2-27"><a href="#cb2-27" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> df.all <span class="sc">|&gt;</span> </span>
<span id="cb2-28"><a href="#cb2-28" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(parlgov_id, date, issue_multi) <span class="sc">|&gt;</span> </span>
<span id="cb2-29"><a href="#cb2-29" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">pr_n =</span> <span class="fu">n</span>())  <span class="sc">|&gt;</span> </span>
<span id="cb2-30"><a href="#cb2-30" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ungroup</span>()  <span class="sc">|&gt;</span> </span>
<span id="cb2-31"><a href="#cb2-31" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bring in right format: each row one party*day, each column count of issue*PRs</span></span>
<span id="cb2-32"><a href="#cb2-32" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pivot_wider</span>(<span class="at">id_cols =</span> <span class="fu">c</span>(parlgov_id, date), </span>
<span id="cb2-33"><a href="#cb2-33" aria-hidden="true" tabindex="-1"></a>              <span class="at">names_from =</span> <span class="fu">c</span>(issue_multi), </span>
<span id="cb2-34"><a href="#cb2-34" aria-hidden="true" tabindex="-1"></a>              <span class="at">values_from =</span> <span class="fu">c</span>(pr_n), </span>
<span id="cb2-35"><a href="#cb2-35" aria-hidden="true" tabindex="-1"></a>              <span class="at">names_prefix =</span> <span class="st">&quot;issue_&quot;</span>) <span class="sc">%&gt;%</span> <span class="co"># (magrittr pipe on purpose)</span></span>
<span id="cb2-36"><a href="#cb2-36" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">pr_total =</span> <span class="fu">select</span>(., <span class="fu">starts_with</span>(<span class="st">&quot;issue_&quot;</span>)) <span class="sc">%&gt;%</span> <span class="fu">rowSums</span>(.,<span class="at">na.rm =</span> <span class="cn">TRUE</span>))</span>
<span id="cb2-37"><a href="#cb2-37" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-38"><a href="#cb2-38" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-39"><a href="#cb2-39" aria-hidden="true" tabindex="-1"></a><span class="co"># Expand to all possible dates</span></span>
<span id="cb2-40"><a href="#cb2-40" aria-hidden="true" tabindex="-1"></a>party_days <span class="ot">&lt;-</span> df.all <span class="sc">|&gt;</span> </span>
<span id="cb2-41"><a href="#cb2-41" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">start_date =</span> <span class="fu">min</span>(date),</span>
<span id="cb2-42"><a href="#cb2-42" aria-hidden="true" tabindex="-1"></a>         <span class="at">end_date =</span> <span class="fu">max</span>(date)) <span class="sc">|&gt;</span> </span>
<span id="cb2-43"><a href="#cb2-43" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(parlgov_id, start_date, end_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-44"><a href="#cb2-44" aria-hidden="true" tabindex="-1"></a>  <span class="fu">distinct</span>(parlgov_id, start_date, end_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-45"><a href="#cb2-45" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(parlgov_id) <span class="sc">|&gt;</span> </span>
<span id="cb2-46"><a href="#cb2-46" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">date =</span> <span class="fu">list</span>(<span class="fu">seq.Date</span>(start_date, end_date, </span>
<span id="cb2-47"><a href="#cb2-47" aria-hidden="true" tabindex="-1"></a>                              <span class="at">by =</span> <span class="st">&quot;day&quot;</span>)))  <span class="sc">|&gt;</span> </span>
<span id="cb2-48"><a href="#cb2-48" aria-hidden="true" tabindex="-1"></a>  <span class="fu">unnest</span>(<span class="at">cols =</span> <span class="fu">c</span>(date)) <span class="sc">|&gt;</span> </span>
<span id="cb2-49"><a href="#cb2-49" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(parlgov_id, date)</span>
<span id="cb2-50"><a href="#cb2-50" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-51"><a href="#cb2-51" aria-hidden="true" tabindex="-1"></a><span class="co"># join data to all possible party*days</span></span>
<span id="cb2-52"><a href="#cb2-52" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(party_days, df.daily,</span>
<span id="cb2-53"><a href="#cb2-53" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;date&quot;</span>))</span>
<span id="cb2-54"><a href="#cb2-54" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-55"><a href="#cb2-55" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-56"><a href="#cb2-56" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39; Each row now contains:</span></span>
<span id="cb2-57"><a href="#cb2-57" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;    &gt; all possible *party-days* </span></span>
<span id="cb2-58"><a href="#cb2-58" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;    &gt; *N* of PRs across all *issues* </span></span>
<span id="cb2-59"><a href="#cb2-59" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-60"><a href="#cb2-60" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-61"><a href="#cb2-61" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-62"><a href="#cb2-62" aria-hidden="true" tabindex="-1"></a><span class="co"># MERGE PARTY CHARACTERISTICS --------------------------------------------------</span></span>
<span id="cb2-63"><a href="#cb2-63" aria-hidden="true" tabindex="-1"></a><span class="co"># Government participation</span></span>
<span id="cb2-64"><a href="#cb2-64" aria-hidden="true" tabindex="-1"></a>df.cabinet <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/cabinet_daily.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb2-65"><a href="#cb2-65" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(cabinet_id, parlgov_id, date, cabinet_party)</span>
<span id="cb2-66"><a href="#cb2-66" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-67"><a href="#cb2-67" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.cabinet,</span>
<span id="cb2-68"><a href="#cb2-68" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;date&quot;</span>))</span>
<span id="cb2-69"><a href="#cb2-69" aria-hidden="true" tabindex="-1"></a><span class="fu">glimpse</span>(df.daily)</span>
<span id="cb2-70"><a href="#cb2-70" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-71"><a href="#cb2-71" aria-hidden="true" tabindex="-1"></a><span class="co"># join party family and country</span></span>
<span id="cb2-72"><a href="#cb2-72" aria-hidden="true" tabindex="-1"></a>df.family <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_input/view_party.csv&quot;</span>)) <span class="sc">|&gt;</span>  </span>
<span id="cb2-73"><a href="#cb2-73" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>( </span>
<span id="cb2-74"><a href="#cb2-74" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> party_id,</span>
<span id="cb2-75"><a href="#cb2-75" aria-hidden="true" tabindex="-1"></a>    <span class="at">country_name =</span> <span class="fu">tolower</span>(country_name),</span>
<span id="cb2-76"><a href="#cb2-76" aria-hidden="true" tabindex="-1"></a>    <span class="at">country_name =</span> <span class="fu">ifelse</span>(country_name <span class="sc">==</span> <span class="st">&quot;united kingdom&quot;</span>,</span>
<span id="cb2-77"><a href="#cb2-77" aria-hidden="true" tabindex="-1"></a>                          <span class="st">&quot;uk&quot;</span>, country_name)</span>
<span id="cb2-78"><a href="#cb2-78" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span></span>
<span id="cb2-79"><a href="#cb2-79" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(parlgov_id, family_name_short, country_name) <span class="sc">|&gt;</span> </span>
<span id="cb2-80"><a href="#cb2-80" aria-hidden="true" tabindex="-1"></a>  <span class="fu">distinct</span>()</span>
<span id="cb2-81"><a href="#cb2-81" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-82"><a href="#cb2-82" aria-hidden="true" tabindex="-1"></a><span class="co"># parties don&#39;t change families</span></span>
<span id="cb2-83"><a href="#cb2-83" aria-hidden="true" tabindex="-1"></a>df.family <span class="sc">|&gt;</span> <span class="fu">group_by</span>(parlgov_id) <span class="sc">|&gt;</span> <span class="fu">summarize</span>(<span class="at">n =</span> <span class="fu">n</span>()) <span class="sc">|&gt;</span> <span class="fu">filter</span>(n <span class="sc">&gt;</span><span class="dv">1</span>)</span>
<span id="cb2-84"><a href="#cb2-84" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-85"><a href="#cb2-85" aria-hidden="true" tabindex="-1"></a><span class="co"># merge to party*days</span></span>
<span id="cb2-86"><a href="#cb2-86" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.family,</span>
<span id="cb2-87"><a href="#cb2-87" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>))</span>
<span id="cb2-88"><a href="#cb2-88" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-89"><a href="#cb2-89" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-90"><a href="#cb2-90" aria-hidden="true" tabindex="-1"></a><span class="co"># EXTREME WEATHER EVENTS -------------------------------------------------------</span></span>
<span id="cb2-91"><a href="#cb2-91" aria-hidden="true" tabindex="-1"></a><span class="co"># load data</span></span>
<span id="cb2-92"><a href="#cb2-92" aria-hidden="true" tabindex="-1"></a>df.disasters_deadly <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/disasters_daily.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb2-93"><a href="#cb2-93" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(country_name, date, disaster_id, type, deaths)</span>
<span id="cb2-94"><a href="#cb2-94" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-95"><a href="#cb2-95" aria-hidden="true" tabindex="-1"></a><span class="co"># merge to party*days</span></span>
<span id="cb2-96"><a href="#cb2-96" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.disasters_deadly,</span>
<span id="cb2-97"><a href="#cb2-97" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;country_name&quot;</span>, <span class="st">&quot;date&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb2-98"><a href="#cb2-98" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb2-99"><a href="#cb2-99" aria-hidden="true" tabindex="-1"></a>  <span class="co"># create different treatment indicator for different event types</span></span>
<span id="cb2-100"><a href="#cb2-100" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb2-101"><a href="#cb2-101" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat =</span> <span class="fu">ifelse</span>(<span class="sc">!</span><span class="fu">is.na</span>(disaster_id), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb2-102"><a href="#cb2-102" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_fire =</span> <span class="fu">ifelse</span>(treat <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&amp;</span> type <span class="sc">==</span> <span class="st">&quot;Wildfire&quot;</span>, <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb2-103"><a href="#cb2-103" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_flood =</span> <span class="fu">ifelse</span>(treat <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&amp;</span> type <span class="sc">==</span> <span class="st">&quot;Flood&quot;</span>, <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb2-104"><a href="#cb2-104" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_storm =</span> <span class="fu">ifelse</span>(treat <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&amp;</span> type <span class="sc">==</span> <span class="st">&quot;Storm&quot;</span>, <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb2-105"><a href="#cb2-105" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_temp =</span> <span class="fu">ifelse</span>(treat <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&amp;</span> type <span class="sc">==</span> <span class="st">&quot;Extreme temperature&quot;</span>, <span class="dv">1</span>, <span class="dv">0</span>)</span>
<span id="cb2-106"><a href="#cb2-106" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb2-107"><a href="#cb2-107" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-108"><a href="#cb2-108" aria-hidden="true" tabindex="-1"></a><span class="co"># add indicator for transboundary events</span></span>
<span id="cb2-109"><a href="#cb2-109" aria-hidden="true" tabindex="-1"></a>df.scraping_bounds <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_input/partypress.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb2-110"><a href="#cb2-110" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(date <span class="sc">&lt;</span> <span class="fu">as.Date</span>(<span class="st">&quot;2021-01-01&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb2-111"><a href="#cb2-111" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name) <span class="sc">|&gt;</span> </span>
<span id="cb2-112"><a href="#cb2-112" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">max_date =</span> <span class="fu">max</span>(date))</span>
<span id="cb2-113"><a href="#cb2-113" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-114"><a href="#cb2-114" aria-hidden="true" tabindex="-1"></a>df.disasters <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/disasters_daily.csv&quot;</span>))  </span>
<span id="cb2-115"><a href="#cb2-115" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-116"><a href="#cb2-116" aria-hidden="true" tabindex="-1"></a>df.disasters <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.disasters, df.scraping_bounds,</span>
<span id="cb2-117"><a href="#cb2-117" aria-hidden="true" tabindex="-1"></a>                          <span class="at">by =</span> <span class="st">&quot;country_name&quot;</span>)</span>
<span id="cb2-118"><a href="#cb2-118" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-119"><a href="#cb2-119" aria-hidden="true" tabindex="-1"></a>df.disasters <span class="ot">&lt;-</span> df.disasters <span class="sc">|&gt;</span> </span>
<span id="cb2-120"><a href="#cb2-120" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(disaster_id, country_name, type) <span class="sc">|&gt;</span> </span>
<span id="cb2-121"><a href="#cb2-121" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(start_date <span class="sc">&lt;=</span> max_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-122"><a href="#cb2-122" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">start_date =</span> <span class="fu">min</span>(start_date) <span class="sc">|&gt;</span> <span class="fu">as.character</span>(), </span>
<span id="cb2-123"><a href="#cb2-123" aria-hidden="true" tabindex="-1"></a>            <span class="at">end_date =</span> <span class="fu">max</span>(end_date) <span class="sc">|&gt;</span> <span class="fu">as.character</span>(),</span>
<span id="cb2-124"><a href="#cb2-124" aria-hidden="true" tabindex="-1"></a>            <span class="at">total_deaths =</span> <span class="fu">sum</span>(deaths, <span class="at">na.rm =</span> T) <span class="sc">|&gt;</span> <span class="fu">as.character</span>(),</span>
<span id="cb2-125"><a href="#cb2-125" aria-hidden="true" tabindex="-1"></a>            <span class="at">total_damages =</span> <span class="fu">sum</span>(damages) <span class="sc">|&gt;</span> <span class="fu">as.character</span>()</span>
<span id="cb2-126"><a href="#cb2-126" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb2-127"><a href="#cb2-127" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">total_damages =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(total_damages), <span class="st">&quot;NA&quot;</span>, <span class="fu">as.character</span>(total_damages))) <span class="sc">|&gt;</span> </span>
<span id="cb2-128"><a href="#cb2-128" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ungroup</span>() <span class="sc">|&gt;</span> </span>
<span id="cb2-129"><a href="#cb2-129" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(<span class="sc">!</span>disaster_id)</span>
<span id="cb2-130"><a href="#cb2-130" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-131"><a href="#cb2-131" aria-hidden="true" tabindex="-1"></a><span class="co"># Transboundary events</span></span>
<span id="cb2-132"><a href="#cb2-132" aria-hidden="true" tabindex="-1"></a>transboundary <span class="ot">&lt;-</span> df.disasters <span class="sc">|&gt;</span> </span>
<span id="cb2-133"><a href="#cb2-133" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(start_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-134"><a href="#cb2-134" aria-hidden="true" tabindex="-1"></a>  <span class="fu">count</span>() <span class="sc">|&gt;</span> </span>
<span id="cb2-135"><a href="#cb2-135" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(n <span class="sc">&gt;</span><span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb2-136"><a href="#cb2-136" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pull</span>(start_date)</span>
<span id="cb2-137"><a href="#cb2-137" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-138"><a href="#cb2-138" aria-hidden="true" tabindex="-1"></a>df.trans <span class="ot">&lt;-</span> df.disasters <span class="sc">|&gt;</span> </span>
<span id="cb2-139"><a href="#cb2-139" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(start_date <span class="sc">%in%</span> transboundary) <span class="sc">|&gt;</span> </span>
<span id="cb2-140"><a href="#cb2-140" aria-hidden="true" tabindex="-1"></a>  <span class="fu">arrange</span>(start_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-141"><a href="#cb2-141" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(country_name, type, start_date, end_date)</span>
<span id="cb2-142"><a href="#cb2-142" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-143"><a href="#cb2-143" aria-hidden="true" tabindex="-1"></a><span class="co"># Expand </span></span>
<span id="cb2-144"><a href="#cb2-144" aria-hidden="true" tabindex="-1"></a>df.trans <span class="ot">&lt;-</span> df.trans <span class="sc">|&gt;</span> </span>
<span id="cb2-145"><a href="#cb2-145" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(country_name, start_date, end_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-146"><a href="#cb2-146" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name, start_date) <span class="sc">|&gt;</span> </span>
<span id="cb2-147"><a href="#cb2-147" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">date =</span> <span class="fu">list</span>(<span class="fu">seq.Date</span>(<span class="fu">as.Date</span>(start_date), <span class="fu">as.Date</span>(end_date), </span>
<span id="cb2-148"><a href="#cb2-148" aria-hidden="true" tabindex="-1"></a>                              <span class="at">by =</span> <span class="st">&quot;day&quot;</span>)))  <span class="sc">|&gt;</span> </span>
<span id="cb2-149"><a href="#cb2-149" aria-hidden="true" tabindex="-1"></a>  <span class="fu">unnest</span>(<span class="at">cols =</span> <span class="fu">c</span>(date)) <span class="sc">|&gt;</span> </span>
<span id="cb2-150"><a href="#cb2-150" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ungroup</span>() <span class="sc">|&gt;</span> </span>
<span id="cb2-151"><a href="#cb2-151" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(country_name, date) <span class="sc">|&gt;</span> </span>
<span id="cb2-152"><a href="#cb2-152" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">treat_trans =</span> <span class="dv">1</span>)</span>
<span id="cb2-153"><a href="#cb2-153" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-154"><a href="#cb2-154" aria-hidden="true" tabindex="-1"></a><span class="co"># join</span></span>
<span id="cb2-155"><a href="#cb2-155" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.trans,</span>
<span id="cb2-156"><a href="#cb2-156" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;country_name&quot;</span>, <span class="st">&quot;date&quot;</span>))</span>
<span id="cb2-157"><a href="#cb2-157" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-158"><a href="#cb2-158" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> df.daily <span class="sc">|&gt;</span> </span>
<span id="cb2-159"><a href="#cb2-159" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">treat_trans =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(treat_trans), <span class="dv">0</span>, treat_trans),</span>
<span id="cb2-160"><a href="#cb2-160" aria-hidden="true" tabindex="-1"></a>         <span class="at">treat_trans =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(treat), <span class="cn">NA</span>, treat_trans))</span>
<span id="cb2-161"><a href="#cb2-161" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-162"><a href="#cb2-162" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-163"><a href="#cb2-163" aria-hidden="true" tabindex="-1"></a><span class="co"># HANDLING NAS -----------------------------------------------------------------</span></span>
<span id="cb2-164"><a href="#cb2-164" aria-hidden="true" tabindex="-1"></a><span class="do">## 1) true NA if not in parliament ATM (cabinet_id missing)</span></span>
<span id="cb2-165"><a href="#cb2-165" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> df.daily <span class="sc">|&gt;</span> </span>
<span id="cb2-166"><a href="#cb2-166" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate_at</span>(</span>
<span id="cb2-167"><a href="#cb2-167" aria-hidden="true" tabindex="-1"></a>    <span class="co"># all variables that should be 0 not NA</span></span>
<span id="cb2-168"><a href="#cb2-168" aria-hidden="true" tabindex="-1"></a>    <span class="fu">vars</span>(<span class="fu">starts_with</span>(<span class="st">&quot;issue_&quot;</span>), pr_total), </span>
<span id="cb2-169"><a href="#cb2-169" aria-hidden="true" tabindex="-1"></a>    <span class="co"># replace with 0 as long as there&#39;s cabinet id</span></span>
<span id="cb2-170"><a href="#cb2-170" aria-hidden="true" tabindex="-1"></a>    <span class="fu">funs</span>(<span class="fu">ifelse</span>(<span class="fu">is.na</span>(.) <span class="sc">&amp;</span> <span class="sc">!</span><span class="fu">is.na</span>(cabinet_id), <span class="dv">0</span>, .))</span>
<span id="cb2-171"><a href="#cb2-171" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb2-172"><a href="#cb2-172" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-173"><a href="#cb2-173" aria-hidden="true" tabindex="-1"></a><span class="co"># 2) true NA if we didn&#39;t scrape</span></span>
<span id="cb2-174"><a href="#cb2-174" aria-hidden="true" tabindex="-1"></a><span class="co"># extract scraping bounds</span></span>
<span id="cb2-175"><a href="#cb2-175" aria-hidden="true" tabindex="-1"></a>df.scraping_bounds <span class="ot">&lt;-</span> df.all <span class="sc">|&gt;</span> </span>
<span id="cb2-176"><a href="#cb2-176" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name) <span class="sc">|&gt;</span> </span>
<span id="cb2-177"><a href="#cb2-177" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">max_date =</span> <span class="fu">max</span>(date))</span>
<span id="cb2-178"><a href="#cb2-178" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-179"><a href="#cb2-179" aria-hidden="true" tabindex="-1"></a><span class="co"># merge back to party*days</span></span>
<span id="cb2-180"><a href="#cb2-180" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.scraping_bounds,</span>
<span id="cb2-181"><a href="#cb2-181" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;country_name&quot;</span>))</span>
<span id="cb2-182"><a href="#cb2-182" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-183"><a href="#cb2-183" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> df.daily <span class="sc">|&gt;</span> </span>
<span id="cb2-184"><a href="#cb2-184" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate_at</span>(</span>
<span id="cb2-185"><a href="#cb2-185" aria-hidden="true" tabindex="-1"></a>    <span class="co"># all variables that should be NA not 0</span></span>
<span id="cb2-186"><a href="#cb2-186" aria-hidden="true" tabindex="-1"></a>    <span class="fu">vars</span>(<span class="fu">starts_with</span>(<span class="st">&quot;issue_&quot;</span>), pr_total), </span>
<span id="cb2-187"><a href="#cb2-187" aria-hidden="true" tabindex="-1"></a>    <span class="co"># replace all Vars with NA that lie outside of scraping bound</span></span>
<span id="cb2-188"><a href="#cb2-188" aria-hidden="true" tabindex="-1"></a>    <span class="fu">funs</span>(<span class="fu">ifelse</span>(date <span class="sc">&gt;</span> max_date, <span class="cn">NA</span>, .))</span>
<span id="cb2-189"><a href="#cb2-189" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb2-190"><a href="#cb2-190" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(<span class="sc">!</span>max_date)</span>
<span id="cb2-191"><a href="#cb2-191" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-192"><a href="#cb2-192" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-193"><a href="#cb2-193" aria-hidden="true" tabindex="-1"></a><span class="co"># CONSECUTIVE TIME COUNTER -----------------------------------------------------</span></span>
<span id="cb2-194"><a href="#cb2-194" aria-hidden="true" tabindex="-1"></a>t_days <span class="ot">&lt;-</span> df.daily <span class="sc">|&gt;</span> </span>
<span id="cb2-195"><a href="#cb2-195" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(date) <span class="sc">|&gt;</span> </span>
<span id="cb2-196"><a href="#cb2-196" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">n =</span> <span class="fu">n</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb2-197"><a href="#cb2-197" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">t =</span> <span class="fu">row_number</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb2-198"><a href="#cb2-198" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(date, t)</span>
<span id="cb2-199"><a href="#cb2-199" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-200"><a href="#cb2-200" aria-hidden="true" tabindex="-1"></a><span class="co"># join t counter to data</span></span>
<span id="cb2-201"><a href="#cb2-201" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, t_days,</span>
<span id="cb2-202"><a href="#cb2-202" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span><span class="st">&quot;date&quot;</span>)</span>
<span id="cb2-203"><a href="#cb2-203" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-204"><a href="#cb2-204" aria-hidden="true" tabindex="-1"></a><span class="co"># check if party-days are unique</span></span>
<span id="cb2-205"><a href="#cb2-205" aria-hidden="true" tabindex="-1"></a>df.daily <span class="sc">|&gt;</span> <span class="fu">group_by</span>(parlgov_id, t) <span class="sc">|&gt;</span> <span class="fu">count</span>() <span class="sc">|&gt;</span> <span class="fu">filter</span>(n <span class="sc">&gt;</span> <span class="dv">1</span>)</span>
<span id="cb2-206"><a href="#cb2-206" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-207"><a href="#cb2-207" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-208"><a href="#cb2-208" aria-hidden="true" tabindex="-1"></a><span class="co"># ADD CLIMATE DICTIONARY -------------------------------------------------------</span></span>
<span id="cb2-209"><a href="#cb2-209" aria-hidden="true" tabindex="-1"></a>df.dic_climate <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/daily_dictionary_climate.csv&quot;</span>))</span>
<span id="cb2-210"><a href="#cb2-210" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-211"><a href="#cb2-211" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.dic_climate,</span>
<span id="cb2-212"><a href="#cb2-212" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;date&quot;</span>))</span>
<span id="cb2-213"><a href="#cb2-213" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-214"><a href="#cb2-214" aria-hidden="true" tabindex="-1"></a><span class="co"># handle NAs: if pr_total is NA then beyond scraping bounds</span></span>
<span id="cb2-215"><a href="#cb2-215" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> df.daily <span class="sc">|&gt;</span> </span>
<span id="cb2-216"><a href="#cb2-216" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">climate_words =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(climate_words) <span class="sc">&amp;</span> <span class="sc">!</span><span class="fu">is.na</span>(pr_total),</span>
<span id="cb2-217"><a href="#cb2-217" aria-hidden="true" tabindex="-1"></a>                                <span class="dv">0</span>, climate_words),</span>
<span id="cb2-218"><a href="#cb2-218" aria-hidden="true" tabindex="-1"></a>         <span class="at">climate_prs =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(climate_prs) <span class="sc">&amp;</span> <span class="sc">!</span><span class="fu">is.na</span>(pr_total),</span>
<span id="cb2-219"><a href="#cb2-219" aria-hidden="true" tabindex="-1"></a>                                <span class="dv">0</span>, climate_prs))</span>
<span id="cb2-220"><a href="#cb2-220" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-221"><a href="#cb2-221" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-222"><a href="#cb2-222" aria-hidden="true" tabindex="-1"></a><span class="co"># ADD RELIEF DICTIONARY --------------------------------------------------------</span></span>
<span id="cb2-223"><a href="#cb2-223" aria-hidden="true" tabindex="-1"></a>df.dic_relief <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/daily_dictionary_relief.csv&quot;</span>))</span>
<span id="cb2-224"><a href="#cb2-224" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-225"><a href="#cb2-225" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.daily, df.dic_relief,</span>
<span id="cb2-226"><a href="#cb2-226" aria-hidden="true" tabindex="-1"></a>                      <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;date&quot;</span>))</span>
<span id="cb2-227"><a href="#cb2-227" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-228"><a href="#cb2-228" aria-hidden="true" tabindex="-1"></a><span class="co"># handle NAs: if pr_total is NA then beyond scraping bounds</span></span>
<span id="cb2-229"><a href="#cb2-229" aria-hidden="true" tabindex="-1"></a>df.daily <span class="ot">&lt;-</span> df.daily <span class="sc">|&gt;</span> </span>
<span id="cb2-230"><a href="#cb2-230" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">relief_words =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(relief_words) <span class="sc">&amp;</span> <span class="sc">!</span><span class="fu">is.na</span>(pr_total),</span>
<span id="cb2-231"><a href="#cb2-231" aria-hidden="true" tabindex="-1"></a>                                <span class="dv">0</span>, relief_words),</span>
<span id="cb2-232"><a href="#cb2-232" aria-hidden="true" tabindex="-1"></a>         <span class="at">relief_prs =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(relief_prs) <span class="sc">&amp;</span> <span class="sc">!</span><span class="fu">is.na</span>(pr_total),</span>
<span id="cb2-233"><a href="#cb2-233" aria-hidden="true" tabindex="-1"></a>                              <span class="dv">0</span>, relief_prs))</span>
<span id="cb2-234"><a href="#cb2-234" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-235"><a href="#cb2-235" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-236"><a href="#cb2-236" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb2-237"><a href="#cb2-237" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(df.daily,</span>
<span id="cb2-238"><a href="#cb2-238" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/press_daily.csv&quot;</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
<div class="cell">
<details>
<summary>Show code: scripts/02_aggregate.R</summary>
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES ---------------------------------------------------------------------</span></span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>  lubridate,</span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a>  here,</span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a>  stringi</span>
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a><span class="co"># AGGREGATE: WEEKLY ------------------------------------------------------------</span></span>
<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a>df.weekly <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_daily.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a>  <span class="co"># create weeks</span></span>
<span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb3-15"><a href="#cb3-15" aria-hidden="true" tabindex="-1"></a>    <span class="at">year =</span> lubridate<span class="sc">::</span><span class="fu">year</span>(date),</span>
<span id="cb3-16"><a href="#cb3-16" aria-hidden="true" tabindex="-1"></a>    <span class="at">week =</span> lubridate<span class="sc">::</span><span class="fu">week</span>(date),</span>
<span id="cb3-17"><a href="#cb3-17" aria-hidden="true" tabindex="-1"></a>    <span class="at">week =</span> <span class="fu">paste0</span>(<span class="dv">0</span>,week),</span>
<span id="cb3-18"><a href="#cb3-18" aria-hidden="true" tabindex="-1"></a>    <span class="at">week =</span> <span class="fu">stri_sub</span>(week,<span class="sc">-</span><span class="dv">2</span>),</span>
<span id="cb3-19"><a href="#cb3-19" aria-hidden="true" tabindex="-1"></a>    <span class="at">yrwk =</span> <span class="fu">paste0</span>(year, week)</span>
<span id="cb3-20"><a href="#cb3-20" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb3-21"><a href="#cb3-21" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb3-22"><a href="#cb3-22" aria-hidden="true" tabindex="-1"></a>  <span class="co"># group by partyweek, keep country_name and family</span></span>
<span id="cb3-23"><a href="#cb3-23" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name, parlgov_id, family_name_short, yrwk) <span class="sc">|&gt;</span> </span>
<span id="cb3-24"><a href="#cb3-24" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(</span>
<span id="cb3-25"><a href="#cb3-25" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-26"><a href="#cb3-26" aria-hidden="true" tabindex="-1"></a>    <span class="co"># issue attention</span></span>
<span id="cb3-27"><a href="#cb3-27" aria-hidden="true" tabindex="-1"></a>    <span class="fu">across</span>(issue_1<span class="sc">:</span>pr_total, <span class="sc">~</span> <span class="fu">sum</span>(.x)),</span>
<span id="cb3-28"><a href="#cb3-28" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-29"><a href="#cb3-29" aria-hidden="true" tabindex="-1"></a>    <span class="co"># climate and relief PRs</span></span>
<span id="cb3-30"><a href="#cb3-30" aria-hidden="true" tabindex="-1"></a>    <span class="fu">across</span>(climate_words<span class="sc">:</span>climate_prs, <span class="sc">~</span> <span class="fu">sum</span>(.x)),</span>
<span id="cb3-31"><a href="#cb3-31" aria-hidden="true" tabindex="-1"></a>    <span class="fu">across</span>(relief_words<span class="sc">:</span>relief_prs, <span class="sc">~</span> <span class="fu">sum</span>(.x)),</span>
<span id="cb3-32"><a href="#cb3-32" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-33"><a href="#cb3-33" aria-hidden="true" tabindex="-1"></a>    <span class="co"># party characteristics (rounded up)</span></span>
<span id="cb3-34"><a href="#cb3-34" aria-hidden="true" tabindex="-1"></a>    <span class="at">cabinet_id =</span> <span class="fu">mean</span>(cabinet_id) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-35"><a href="#cb3-35" aria-hidden="true" tabindex="-1"></a>    <span class="at">cabinet_party =</span> <span class="fu">mean</span>(cabinet_party) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-36"><a href="#cb3-36" aria-hidden="true" tabindex="-1"></a>    <span class="co">#campaign = mean(campaign) |&gt; ceiling(),</span></span>
<span id="cb3-37"><a href="#cb3-37" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-38"><a href="#cb3-38" aria-hidden="true" tabindex="-1"></a>    <span class="co"># disaster characteristics (rounded up)</span></span>
<span id="cb3-39"><a href="#cb3-39" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat =</span> <span class="fu">mean</span>(treat) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-40"><a href="#cb3-40" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_fire =</span> <span class="fu">mean</span>(treat_fire) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(), </span>
<span id="cb3-41"><a href="#cb3-41" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_flood =</span> <span class="fu">mean</span>(treat_flood) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(), </span>
<span id="cb3-42"><a href="#cb3-42" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_storm =</span> <span class="fu">mean</span>(treat_storm) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(), </span>
<span id="cb3-43"><a href="#cb3-43" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_temp =</span> <span class="fu">mean</span>(treat_temp) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-44"><a href="#cb3-44" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_trans =</span> <span class="fu">mean</span>(treat_trans) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>()</span>
<span id="cb3-45"><a href="#cb3-45" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb3-46"><a href="#cb3-46" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-47"><a href="#cb3-47" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-48"><a href="#cb3-48" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-49"><a href="#cb3-49" aria-hidden="true" tabindex="-1"></a><span class="co"># get consecutive time counter t</span></span>
<span id="cb3-50"><a href="#cb3-50" aria-hidden="true" tabindex="-1"></a>t_weeks <span class="ot">&lt;-</span> df.weekly <span class="sc">|&gt;</span> </span>
<span id="cb3-51"><a href="#cb3-51" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(yrwk) <span class="sc">|&gt;</span> </span>
<span id="cb3-52"><a href="#cb3-52" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">n =</span> <span class="fu">n</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb3-53"><a href="#cb3-53" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">t =</span> <span class="fu">row_number</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb3-54"><a href="#cb3-54" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(yrwk, t)</span>
<span id="cb3-55"><a href="#cb3-55" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-56"><a href="#cb3-56" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-57"><a href="#cb3-57" aria-hidden="true" tabindex="-1"></a><span class="co"># join t counter to data</span></span>
<span id="cb3-58"><a href="#cb3-58" aria-hidden="true" tabindex="-1"></a>df.weekly <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.weekly, t_weeks,</span>
<span id="cb3-59"><a href="#cb3-59" aria-hidden="true" tabindex="-1"></a>                       <span class="at">by =</span><span class="st">&quot;yrwk&quot;</span>)</span>
<span id="cb3-60"><a href="#cb3-60" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-61"><a href="#cb3-61" aria-hidden="true" tabindex="-1"></a><span class="co"># check if party-days are unique</span></span>
<span id="cb3-62"><a href="#cb3-62" aria-hidden="true" tabindex="-1"></a>to_drop <span class="ot">&lt;-</span> df.weekly <span class="sc">|&gt;</span> <span class="fu">group_by</span>(parlgov_id, yrwk) <span class="sc">|&gt;</span> <span class="fu">count</span>() <span class="sc">|&gt;</span> <span class="fu">filter</span>(n <span class="sc">&gt;</span> <span class="dv">1</span>)</span>
<span id="cb3-63"><a href="#cb3-63" aria-hidden="true" tabindex="-1"></a>to_drop <span class="ot">&lt;-</span> <span class="fu">left_join</span>(to_drop, df.weekly,</span>
<span id="cb3-64"><a href="#cb3-64" aria-hidden="true" tabindex="-1"></a>                     <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;yrwk&quot;</span>))</span>
<span id="cb3-65"><a href="#cb3-65" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-66"><a href="#cb3-66" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39; Problem: sometimes duplicates: same week but </span></span>
<span id="cb3-67"><a href="#cb3-67" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;  - one time cabinet id TRUE</span></span>
<span id="cb3-68"><a href="#cb3-68" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;  - one time cabinet id NA</span></span>
<span id="cb3-69"><a href="#cb3-69" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;  because same week but get in/out of parliament</span></span>
<span id="cb3-70"><a href="#cb3-70" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-71"><a href="#cb3-71" aria-hidden="true" tabindex="-1"></a><span class="co"># See this in daily data      </span></span>
<span id="cb3-72"><a href="#cb3-72" aria-hidden="true" tabindex="-1"></a>duplicates <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_daily.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-73"><a href="#cb3-73" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(</span>
<span id="cb3-74"><a href="#cb3-74" aria-hidden="true" tabindex="-1"></a>    parlgov_id <span class="sc">==</span> <span class="dv">629</span>, </span>
<span id="cb3-75"><a href="#cb3-75" aria-hidden="true" tabindex="-1"></a>    date <span class="sc">&gt;=</span> <span class="fu">as.Date</span>(<span class="st">&quot;2015-11-09&quot;</span>),</span>
<span id="cb3-76"><a href="#cb3-76" aria-hidden="true" tabindex="-1"></a>    date <span class="sc">&lt;=</span> <span class="fu">as.Date</span>(<span class="st">&quot;2015-11-20&quot;</span>)</span>
<span id="cb3-77"><a href="#cb3-77" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb3-78"><a href="#cb3-78" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">week =</span> lubridate<span class="sc">::</span><span class="fu">week</span>(date))</span>
<span id="cb3-79"><a href="#cb3-79" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-80"><a href="#cb3-80" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb3-81"><a href="#cb3-81" aria-hidden="true" tabindex="-1"></a>to_drop <span class="ot">&lt;-</span> to_drop <span class="sc">|&gt;</span> </span>
<span id="cb3-82"><a href="#cb3-82" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">drop =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(country_name), <span class="dv">1</span>, <span class="dv">0</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-83"><a href="#cb3-83" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(drop <span class="sc">==</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb3-84"><a href="#cb3-84" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(parlgov_id, yrwk, cabinet_id, drop)</span>
<span id="cb3-85"><a href="#cb3-85" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-86"><a href="#cb3-86" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-87"><a href="#cb3-87" aria-hidden="true" tabindex="-1"></a><span class="co"># add drop column to weekly data and delete cases</span></span>
<span id="cb3-88"><a href="#cb3-88" aria-hidden="true" tabindex="-1"></a>df.weekly <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.weekly, to_drop,</span>
<span id="cb3-89"><a href="#cb3-89" aria-hidden="true" tabindex="-1"></a>                       <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;yrwk&quot;</span>, <span class="st">&quot;cabinet_id&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-90"><a href="#cb3-90" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="fu">is.na</span>(drop)) <span class="sc">|&gt;</span> </span>
<span id="cb3-91"><a href="#cb3-91" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(<span class="sc">!</span>drop)</span>
<span id="cb3-92"><a href="#cb3-92" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-93"><a href="#cb3-93" aria-hidden="true" tabindex="-1"></a><span class="co"># Check</span></span>
<span id="cb3-94"><a href="#cb3-94" aria-hidden="true" tabindex="-1"></a>df.weekly <span class="sc">|&gt;</span> <span class="fu">group_by</span>(parlgov_id, yrwk) <span class="sc">|&gt;</span> <span class="fu">count</span>() <span class="sc">|&gt;</span> <span class="fu">filter</span>(n <span class="sc">&gt;</span> <span class="dv">1</span>)</span>
<span id="cb3-95"><a href="#cb3-95" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-96"><a href="#cb3-96" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-97"><a href="#cb3-97" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-98"><a href="#cb3-98" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-99"><a href="#cb3-99" aria-hidden="true" tabindex="-1"></a><span class="co"># AGGREGATE: MONTHLY -----------------------------------------------------------</span></span>
<span id="cb3-100"><a href="#cb3-100" aria-hidden="true" tabindex="-1"></a>df.monthly <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_daily.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-101"><a href="#cb3-101" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-102"><a href="#cb3-102" aria-hidden="true" tabindex="-1"></a>  <span class="co"># create months</span></span>
<span id="cb3-103"><a href="#cb3-103" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb3-104"><a href="#cb3-104" aria-hidden="true" tabindex="-1"></a>    <span class="at">year =</span> lubridate<span class="sc">::</span><span class="fu">year</span>(date),</span>
<span id="cb3-105"><a href="#cb3-105" aria-hidden="true" tabindex="-1"></a>    <span class="at">month =</span> lubridate<span class="sc">::</span><span class="fu">month</span>(date),</span>
<span id="cb3-106"><a href="#cb3-106" aria-hidden="true" tabindex="-1"></a>    <span class="at">month =</span> <span class="fu">paste0</span>(<span class="dv">0</span>, month),</span>
<span id="cb3-107"><a href="#cb3-107" aria-hidden="true" tabindex="-1"></a>    <span class="at">month =</span> <span class="fu">stri_sub</span>(month, <span class="sc">-</span><span class="dv">2</span>),</span>
<span id="cb3-108"><a href="#cb3-108" aria-hidden="true" tabindex="-1"></a>    <span class="at">yrmon =</span> <span class="fu">paste0</span>(year, month)</span>
<span id="cb3-109"><a href="#cb3-109" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb3-110"><a href="#cb3-110" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-111"><a href="#cb3-111" aria-hidden="true" tabindex="-1"></a>  <span class="co"># group by party*month, keep country_name and family</span></span>
<span id="cb3-112"><a href="#cb3-112" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name, parlgov_id, family_name_short, yrmon) <span class="sc">|&gt;</span> </span>
<span id="cb3-113"><a href="#cb3-113" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(</span>
<span id="cb3-114"><a href="#cb3-114" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-115"><a href="#cb3-115" aria-hidden="true" tabindex="-1"></a>    <span class="co"># issue attention</span></span>
<span id="cb3-116"><a href="#cb3-116" aria-hidden="true" tabindex="-1"></a>    <span class="fu">across</span>(issue_1<span class="sc">:</span>pr_total, <span class="sc">~</span> <span class="fu">sum</span>(.x)),</span>
<span id="cb3-117"><a href="#cb3-117" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-118"><a href="#cb3-118" aria-hidden="true" tabindex="-1"></a>    <span class="co"># climate and relief PRs</span></span>
<span id="cb3-119"><a href="#cb3-119" aria-hidden="true" tabindex="-1"></a>    <span class="fu">across</span>(climate_words<span class="sc">:</span>climate_prs, <span class="sc">~</span> <span class="fu">sum</span>(.x)),</span>
<span id="cb3-120"><a href="#cb3-120" aria-hidden="true" tabindex="-1"></a>    <span class="fu">across</span>(relief_words<span class="sc">:</span>relief_prs, <span class="sc">~</span> <span class="fu">sum</span>(.x)),</span>
<span id="cb3-121"><a href="#cb3-121" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-122"><a href="#cb3-122" aria-hidden="true" tabindex="-1"></a>    <span class="co"># party characteristics (rounded up)</span></span>
<span id="cb3-123"><a href="#cb3-123" aria-hidden="true" tabindex="-1"></a>    <span class="at">cabinet_id =</span> <span class="fu">mean</span>(cabinet_id) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-124"><a href="#cb3-124" aria-hidden="true" tabindex="-1"></a>    <span class="at">cabinet_party =</span> <span class="fu">mean</span>(cabinet_party) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-125"><a href="#cb3-125" aria-hidden="true" tabindex="-1"></a>    <span class="co">#campaign = mean(campaign) |&gt; ceiling(),</span></span>
<span id="cb3-126"><a href="#cb3-126" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb3-127"><a href="#cb3-127" aria-hidden="true" tabindex="-1"></a>    <span class="co"># disaster characteristics (rounded up)</span></span>
<span id="cb3-128"><a href="#cb3-128" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat =</span> <span class="fu">mean</span>(treat) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-129"><a href="#cb3-129" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_fire =</span> <span class="fu">mean</span>(treat_fire) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(), </span>
<span id="cb3-130"><a href="#cb3-130" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_flood =</span> <span class="fu">mean</span>(treat_flood) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(), </span>
<span id="cb3-131"><a href="#cb3-131" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_storm =</span> <span class="fu">mean</span>(treat_storm) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(), </span>
<span id="cb3-132"><a href="#cb3-132" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_temp =</span> <span class="fu">mean</span>(treat_temp) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>(),</span>
<span id="cb3-133"><a href="#cb3-133" aria-hidden="true" tabindex="-1"></a>    <span class="at">treat_trans =</span> <span class="fu">mean</span>(treat_trans) <span class="sc">|&gt;</span> <span class="fu">ceiling</span>()</span>
<span id="cb3-134"><a href="#cb3-134" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb3-135"><a href="#cb3-135" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-136"><a href="#cb3-136" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-137"><a href="#cb3-137" aria-hidden="true" tabindex="-1"></a><span class="co"># get consecutive time counter t</span></span>
<span id="cb3-138"><a href="#cb3-138" aria-hidden="true" tabindex="-1"></a>t_months <span class="ot">&lt;-</span> df.monthly <span class="sc">|&gt;</span> </span>
<span id="cb3-139"><a href="#cb3-139" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(yrmon) <span class="sc">|&gt;</span> </span>
<span id="cb3-140"><a href="#cb3-140" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">n =</span> <span class="fu">n</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb3-141"><a href="#cb3-141" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">t =</span> <span class="fu">row_number</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb3-142"><a href="#cb3-142" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(yrmon, t)</span>
<span id="cb3-143"><a href="#cb3-143" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-144"><a href="#cb3-144" aria-hidden="true" tabindex="-1"></a><span class="co"># join t counter to data</span></span>
<span id="cb3-145"><a href="#cb3-145" aria-hidden="true" tabindex="-1"></a>df.monthly <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.monthly, t_months,</span>
<span id="cb3-146"><a href="#cb3-146" aria-hidden="true" tabindex="-1"></a>                        <span class="at">by =</span><span class="st">&quot;yrmon&quot;</span>)</span>
<span id="cb3-147"><a href="#cb3-147" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-148"><a href="#cb3-148" aria-hidden="true" tabindex="-1"></a><span class="co"># check if party-days are unique</span></span>
<span id="cb3-149"><a href="#cb3-149" aria-hidden="true" tabindex="-1"></a>to_drop <span class="ot">&lt;-</span> df.monthly <span class="sc">|&gt;</span> <span class="fu">group_by</span>(parlgov_id, yrmon) <span class="sc">|&gt;</span> <span class="fu">count</span>() <span class="sc">|&gt;</span> <span class="fu">filter</span>(n <span class="sc">&gt;</span> <span class="dv">1</span>)</span>
<span id="cb3-150"><a href="#cb3-150" aria-hidden="true" tabindex="-1"></a>to_drop <span class="ot">&lt;-</span> <span class="fu">left_join</span>(to_drop, df.monthly,</span>
<span id="cb3-151"><a href="#cb3-151" aria-hidden="true" tabindex="-1"></a>                     <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;yrmon&quot;</span>))</span>
<span id="cb3-152"><a href="#cb3-152" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-153"><a href="#cb3-153" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39; Problem: sometimes duplicates: same month but </span></span>
<span id="cb3-154"><a href="#cb3-154" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;  - one time cabinet id</span></span>
<span id="cb3-155"><a href="#cb3-155" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;  - one time cabinet id NA</span></span>
<span id="cb3-156"><a href="#cb3-156" aria-hidden="true" tabindex="-1"></a><span class="co">#&#39;  because same month but get in/out of parliament</span></span>
<span id="cb3-157"><a href="#cb3-157" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-158"><a href="#cb3-158" aria-hidden="true" tabindex="-1"></a><span class="co"># See this in daily data      </span></span>
<span id="cb3-159"><a href="#cb3-159" aria-hidden="true" tabindex="-1"></a>duplicates <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_daily.csv&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-160"><a href="#cb3-160" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(</span>
<span id="cb3-161"><a href="#cb3-161" aria-hidden="true" tabindex="-1"></a>    parlgov_id <span class="sc">==</span> <span class="dv">543</span>, </span>
<span id="cb3-162"><a href="#cb3-162" aria-hidden="true" tabindex="-1"></a>    date <span class="sc">&gt;=</span> <span class="fu">as.Date</span>(<span class="st">&quot;2013-12-01&quot;</span>),</span>
<span id="cb3-163"><a href="#cb3-163" aria-hidden="true" tabindex="-1"></a>    date <span class="sc">&lt;=</span> <span class="fu">as.Date</span>(<span class="st">&quot;2014-01-01&quot;</span>)</span>
<span id="cb3-164"><a href="#cb3-164" aria-hidden="true" tabindex="-1"></a>    ) </span>
<span id="cb3-165"><a href="#cb3-165" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-166"><a href="#cb3-166" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb3-167"><a href="#cb3-167" aria-hidden="true" tabindex="-1"></a>to_drop <span class="ot">&lt;-</span> to_drop <span class="sc">|&gt;</span> </span>
<span id="cb3-168"><a href="#cb3-168" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">drop =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(country_name), <span class="dv">1</span>, <span class="dv">0</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-169"><a href="#cb3-169" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(drop <span class="sc">==</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb3-170"><a href="#cb3-170" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(parlgov_id, yrmon, cabinet_id, drop)</span>
<span id="cb3-171"><a href="#cb3-171" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-172"><a href="#cb3-172" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-173"><a href="#cb3-173" aria-hidden="true" tabindex="-1"></a><span class="co"># add drop column to weekly data and delete cases</span></span>
<span id="cb3-174"><a href="#cb3-174" aria-hidden="true" tabindex="-1"></a>df.monthly <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.monthly, to_drop,</span>
<span id="cb3-175"><a href="#cb3-175" aria-hidden="true" tabindex="-1"></a>                        <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;parlgov_id&quot;</span>, <span class="st">&quot;yrmon&quot;</span>, <span class="st">&quot;cabinet_id&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb3-176"><a href="#cb3-176" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="fu">is.na</span>(drop)) <span class="sc">|&gt;</span> </span>
<span id="cb3-177"><a href="#cb3-177" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(<span class="sc">!</span>drop)</span>
<span id="cb3-178"><a href="#cb3-178" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-179"><a href="#cb3-179" aria-hidden="true" tabindex="-1"></a><span class="co"># check</span></span>
<span id="cb3-180"><a href="#cb3-180" aria-hidden="true" tabindex="-1"></a>df.monthly <span class="sc">|&gt;</span> <span class="fu">group_by</span>(parlgov_id, yrmon) <span class="sc">|&gt;</span> <span class="fu">count</span>() <span class="sc">|&gt;</span> <span class="fu">filter</span>(n <span class="sc">&gt;</span> <span class="dv">1</span>)</span>
<span id="cb3-181"><a href="#cb3-181" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-182"><a href="#cb3-182" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-183"><a href="#cb3-183" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-184"><a href="#cb3-184" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb3-185"><a href="#cb3-185" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(df.weekly,</span>
<span id="cb3-186"><a href="#cb3-186" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))</span>
<span id="cb3-187"><a href="#cb3-187" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-188"><a href="#cb3-188" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(df.monthly,</span>
<span id="cb3-189"><a href="#cb3-189" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/press_monthly.csv&quot;</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
</section>
</section>
<section id="main-analysis" class="level1">
<h1>Main Analysis</h1>
<p>Due to copy right issues, we cannot share the content of press releases underlying Figure 1. The analyses underlying Figure 2 in the paper are replicable with <code>scripts/03_analysis.R</code>.</p>
<section id="code-2" class="level3">
<h3 class="anchored" data-anchor-id="code-2">Code</h3>
<div class="cell">
<details>
<summary>Show code: scripts/03_analysis.R</summary>
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES --------------------------------------------------------------------</span></span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>  PanelMatch,</span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>  panelView,</span>
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>  ggpubr,</span>
<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>  ggrepel,</span>
<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>  cowplot,</span>
<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a><span class="co"># DATA WRANGLING FOR PANELMATCH ------------------------------------------------</span></span>
<span id="cb4-15"><a href="#cb4-15" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb4-16"><a href="#cb4-16" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb4-17"><a href="#cb4-17" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-18"><a href="#cb4-18" aria-hidden="true" tabindex="-1"></a>    <span class="co"># only integers allowed </span></span>
<span id="cb4-19"><a href="#cb4-19" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> <span class="fu">as.integer</span>(parlgov_id),</span>
<span id="cb4-20"><a href="#cb4-20" aria-hidden="true" tabindex="-1"></a>    <span class="at">t =</span> <span class="fu">as.integer</span>(t),</span>
<span id="cb4-21"><a href="#cb4-21" aria-hidden="true" tabindex="-1"></a>    <span class="at">country =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(country_name)),</span>
<span id="cb4-22"><a href="#cb4-22" aria-hidden="true" tabindex="-1"></a>    <span class="at">family =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(family_name_short))</span>
<span id="cb4-23"><a href="#cb4-23" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-24"><a href="#cb4-24" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb4-25"><a href="#cb4-25" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-26"><a href="#cb4-26" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
<span id="cb4-27"><a href="#cb4-27" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-28"><a href="#cb4-28" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Covs</span></span>
<span id="cb4-29"><a href="#cb4-29" aria-hidden="true" tabindex="-1"></a>    parlgov_id, t, family, country, cabinet_party,</span>
<span id="cb4-30"><a href="#cb4-30" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-31"><a href="#cb4-31" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Treatments</span></span>
<span id="cb4-32"><a href="#cb4-32" aria-hidden="true" tabindex="-1"></a>    treat, treat_flood, treat_storm, treat_fire, treat_temp,</span>
<span id="cb4-33"><a href="#cb4-33" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-34"><a href="#cb4-34" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Outcome</span></span>
<span id="cb4-35"><a href="#cb4-35" aria-hidden="true" tabindex="-1"></a>    issue_7, pr_total</span>
<span id="cb4-36"><a href="#cb4-36" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-37"><a href="#cb4-37" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb4-38"><a href="#cb4-38" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-39"><a href="#cb4-39" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb4-40"><a href="#cb4-40" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-41"><a href="#cb4-41" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> issue_7 <span class="sc">/</span> pr_total,</span>
<span id="cb4-42"><a href="#cb4-42" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome), <span class="dv">0</span>, outcome) </span>
<span id="cb4-43"><a href="#cb4-43" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-44"><a href="#cb4-44" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb4-45"><a href="#cb4-45" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-46"><a href="#cb4-46" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb4-47"><a href="#cb4-47" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-48"><a href="#cb4-48" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(parlgov_id)) </span>
<span id="cb4-49"><a href="#cb4-49" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-50"><a href="#cb4-50" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-51"><a href="#cb4-51" aria-hidden="true" tabindex="-1"></a><span class="co"># Globally define leads and lags, iterations</span></span>
<span id="cb4-52"><a href="#cb4-52" aria-hidden="true" tabindex="-1"></a>lag <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb4-53"><a href="#cb4-53" aria-hidden="true" tabindex="-1"></a>lead <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb4-54"><a href="#cb4-54" aria-hidden="true" tabindex="-1"></a>n_iterations <span class="ot">&lt;-</span> <span class="dv">1000</span></span>
<span id="cb4-55"><a href="#cb4-55" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-56"><a href="#cb4-56" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-57"><a href="#cb4-57" aria-hidden="true" tabindex="-1"></a><span class="co"># create empty tibble for data viz</span></span>
<span id="cb4-58"><a href="#cb4-58" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
<span id="cb4-59"><a href="#cb4-59" aria-hidden="true" tabindex="-1"></a>  <span class="at">coef =</span> <span class="fu">numeric</span>(), </span>
<span id="cb4-60"><a href="#cb4-60" aria-hidden="true" tabindex="-1"></a>  <span class="at">se =</span> <span class="fu">numeric</span>(),</span>
<span id="cb4-61"><a href="#cb4-61" aria-hidden="true" tabindex="-1"></a>  <span class="at">model =</span> <span class="fu">numeric</span>()</span>
<span id="cb4-62"><a href="#cb4-62" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb4-63"><a href="#cb4-63" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-64"><a href="#cb4-64" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-65"><a href="#cb4-65" aria-hidden="true" tabindex="-1"></a><span class="co"># LOOPS TO CREATE ONE GRAPH ACROSS ALL MODELS ----------------------------------</span></span>
<span id="cb4-66"><a href="#cb4-66" aria-hidden="true" tabindex="-1"></a>models <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Overall&quot;</span>,</span>
<span id="cb4-67"><a href="#cb4-67" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Green&quot;</span>,</span>
<span id="cb4-68"><a href="#cb4-68" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Left&quot;</span>,</span>
<span id="cb4-69"><a href="#cb4-69" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Right&quot;</span>,</span>
<span id="cb4-70"><a href="#cb4-70" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Opposition&quot;</span>,</span>
<span id="cb4-71"><a href="#cb4-71" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Government&quot;</span>,</span>
<span id="cb4-72"><a href="#cb4-72" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Floods&quot;</span>,</span>
<span id="cb4-73"><a href="#cb4-73" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Storms&quot;</span>,</span>
<span id="cb4-74"><a href="#cb4-74" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Wildfires&quot;</span>,</span>
<span id="cb4-75"><a href="#cb4-75" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Extreme Temp.&quot;</span>)</span>
<span id="cb4-76"><a href="#cb4-76" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-77"><a href="#cb4-77" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-78"><a href="#cb4-78" aria-hidden="true" tabindex="-1"></a><span class="co"># AGRICULTURAL PARTIES INCLUDED WITH RIGHT PARTIES</span></span>
<span id="cb4-79"><a href="#cb4-79" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (model <span class="cf">in</span> models) {</span>
<span id="cb4-80"><a href="#cb4-80" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>) {</span>
<span id="cb4-81"><a href="#cb4-81" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch</span>
<span id="cb4-82"><a href="#cb4-82" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Green&quot;</span>) {</span>
<span id="cb4-83"><a href="#cb4-83" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">==</span> <span class="dv">5</span>) </span>
<span id="cb4-84"><a href="#cb4-84" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Left&quot;</span>) {</span>
<span id="cb4-85"><a href="#cb4-85" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">%in%</span> <span class="fu">c</span>(<span class="dv">3</span>,<span class="dv">6</span>,<span class="dv">8</span>)) <span class="co"># Com, lib, soc</span></span>
<span id="cb4-86"><a href="#cb4-86" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Right&quot;</span>) {</span>
<span id="cb4-87"><a href="#cb4-87" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">%in%</span> <span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">2</span>,<span class="dv">4</span>,<span class="dv">7</span>)) <span class="co"># agr, Christian, Cons, Radical Right</span></span>
<span id="cb4-88"><a href="#cb4-88" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Opposition&quot;</span>) {</span>
<span id="cb4-89"><a href="#cb4-89" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(cabinet_party <span class="sc">==</span> <span class="dv">0</span>)</span>
<span id="cb4-90"><a href="#cb4-90" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Government&quot;</span>) {</span>
<span id="cb4-91"><a href="#cb4-91" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(cabinet_party <span class="sc">==</span> <span class="dv">1</span>)</span>
<span id="cb4-92"><a href="#cb4-92" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Floods&quot;</span>) {</span>
<span id="cb4-93"><a href="#cb4-93" aria-hidden="true" tabindex="-1"></a>  df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_flood)</span>
<span id="cb4-94"><a href="#cb4-94" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Storms&quot;</span>) {</span>
<span id="cb4-95"><a href="#cb4-95" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_storm)</span>
<span id="cb4-96"><a href="#cb4-96" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Wildfires&quot;</span>) {</span>
<span id="cb4-97"><a href="#cb4-97" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_fire)</span>
<span id="cb4-98"><a href="#cb4-98" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Extreme Temp.&quot;</span>) {</span>
<span id="cb4-99"><a href="#cb4-99" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_temp)</span>
<span id="cb4-100"><a href="#cb4-100" aria-hidden="true" tabindex="-1"></a>  } </span>
<span id="cb4-101"><a href="#cb4-101" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-102"><a href="#cb4-102" aria-hidden="true" tabindex="-1"></a>  PM.results <span class="ot">&lt;-</span> <span class="fu">PanelMatch</span>(<span class="at">lag =</span> lag, </span>
<span id="cb4-103"><a href="#cb4-103" aria-hidden="true" tabindex="-1"></a>                           <span class="at">lead =</span> <span class="dv">0</span><span class="sc">:</span>lead, </span>
<span id="cb4-104"><a href="#cb4-104" aria-hidden="true" tabindex="-1"></a>                           <span class="at">data =</span> df.tmp,</span>
<span id="cb4-105"><a href="#cb4-105" aria-hidden="true" tabindex="-1"></a>                           <span class="at">time.id =</span> <span class="st">&quot;t&quot;</span>, </span>
<span id="cb4-106"><a href="#cb4-106" aria-hidden="true" tabindex="-1"></a>                           <span class="at">unit.id =</span> <span class="st">&quot;parlgov_id&quot;</span>,</span>
<span id="cb4-107"><a href="#cb4-107" aria-hidden="true" tabindex="-1"></a>                           <span class="at">treatment =</span> <span class="st">&quot;treat&quot;</span>, </span>
<span id="cb4-108"><a href="#cb4-108" aria-hidden="true" tabindex="-1"></a>                           <span class="at">outcome.var =</span> <span class="st">&quot;outcome&quot;</span>,</span>
<span id="cb4-109"><a href="#cb4-109" aria-hidden="true" tabindex="-1"></a>                           <span class="at">match.missing =</span> <span class="cn">TRUE</span>,</span>
<span id="cb4-110"><a href="#cb4-110" aria-hidden="true" tabindex="-1"></a>                           <span class="at">refinement.method =</span> <span class="st">&quot;mahalanobis&quot;</span>,</span>
<span id="cb4-111"><a href="#cb4-111" aria-hidden="true" tabindex="-1"></a>                           <span class="at">covs.formula =</span> <span class="sc">~</span> <span class="fu">I</span>(<span class="fu">lag</span>(outcome, <span class="dv">1</span><span class="sc">:</span>lead)),</span>
<span id="cb4-112"><a href="#cb4-112" aria-hidden="true" tabindex="-1"></a>                           <span class="at">exact.match.variables =</span> <span class="st">&quot;family&quot;</span>,</span>
<span id="cb4-113"><a href="#cb4-113" aria-hidden="true" tabindex="-1"></a>                           <span class="at">size.match =</span> <span class="dv">10</span>, </span>
<span id="cb4-114"><a href="#cb4-114" aria-hidden="true" tabindex="-1"></a>                           <span class="at">qoi =</span> <span class="st">&quot;att&quot;</span>,</span>
<span id="cb4-115"><a href="#cb4-115" aria-hidden="true" tabindex="-1"></a>                           <span class="at">forbid.treatment.reversal =</span> <span class="cn">FALSE</span>)</span>
<span id="cb4-116"><a href="#cb4-116" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-117"><a href="#cb4-117" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-118"><a href="#cb4-118" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Treatment</span></span>
<span id="cb4-119"><a href="#cb4-119" aria-hidden="true" tabindex="-1"></a>  PE.treat <span class="ot">&lt;-</span> <span class="fu">PanelEstimate</span>(<span class="at">sets =</span> PM.results, </span>
<span id="cb4-120"><a href="#cb4-120" aria-hidden="true" tabindex="-1"></a>                            <span class="at">data =</span> df.tmp,</span>
<span id="cb4-121"><a href="#cb4-121" aria-hidden="true" tabindex="-1"></a>                            <span class="at">se.method =</span> <span class="st">&quot;bootstrap&quot;</span>,</span>
<span id="cb4-122"><a href="#cb4-122" aria-hidden="true" tabindex="-1"></a>                            <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb4-123"><a href="#cb4-123" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-124"><a href="#cb4-124" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Store Coefs and SEs</span></span>
<span id="cb4-125"><a href="#cb4-125" aria-hidden="true" tabindex="-1"></a>  gg.treat <span class="ot">&lt;-</span> <span class="fu">summary</span>(PE.treat, </span>
<span id="cb4-126"><a href="#cb4-126" aria-hidden="true" tabindex="-1"></a>                      <span class="at">verbose =</span> F, </span>
<span id="cb4-127"><a href="#cb4-127" aria-hidden="true" tabindex="-1"></a>                      <span class="at">bias.corrected =</span> F) <span class="sc">|&gt;</span> </span>
<span id="cb4-128"><a href="#cb4-128" aria-hidden="true" tabindex="-1"></a>    <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb4-129"><a href="#cb4-129" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model,</span>
<span id="cb4-130"><a href="#cb4-130" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb4-131"><a href="#cb4-131" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">low_ci =</span> <span class="st">`</span><span class="at">2.5%</span><span class="st">`</span>,</span>
<span id="cb4-132"><a href="#cb4-132" aria-hidden="true" tabindex="-1"></a>           <span class="at">up_ci =</span> <span class="st">`</span><span class="at">97.5%</span><span class="st">`</span>) <span class="sc">|&gt;</span> </span>
<span id="cb4-133"><a href="#cb4-133" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(<span class="sc">-</span>std.error)</span>
<span id="cb4-134"><a href="#cb4-134" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-135"><a href="#cb4-135" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Placebo</span></span>
<span id="cb4-136"><a href="#cb4-136" aria-hidden="true" tabindex="-1"></a>  PE.placebo <span class="ot">&lt;-</span> <span class="fu">placebo_test</span>(PM.results, </span>
<span id="cb4-137"><a href="#cb4-137" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.tmp, </span>
<span id="cb4-138"><a href="#cb4-138" aria-hidden="true" tabindex="-1"></a>                             <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb4-139"><a href="#cb4-139" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-140"><a href="#cb4-140" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo estimates  </span></span>
<span id="cb4-141"><a href="#cb4-141" aria-hidden="true" tabindex="-1"></a>  placebo_estimates <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb4-142"><a href="#cb4-142" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> (lead <span class="sc">+</span> <span class="dv">1</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb4-143"><a href="#cb4-143" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">estimate =</span> value) </span>
<span id="cb4-144"><a href="#cb4-144" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-145"><a href="#cb4-145" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-146"><a href="#cb4-146" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo CIs, percentiles from bootstrapping</span></span>
<span id="cb4-147"><a href="#cb4-147" aria-hidden="true" tabindex="-1"></a>  percentiles <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>bootstrapped.estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb4-148"><a href="#cb4-148" aria-hidden="true" tabindex="-1"></a>    <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="fu">everything</span>(), <span class="sc">~</span> <span class="fu">quantile</span>(., <span class="at">probs =</span> <span class="fu">c</span>(<span class="fl">0.025</span>, <span class="fl">0.975</span>)))) </span>
<span id="cb4-149"><a href="#cb4-149" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-150"><a href="#cb4-150" aria-hidden="true" tabindex="-1"></a>  percentiles_longer <span class="ot">&lt;-</span> percentiles <span class="sc">|&gt;</span> </span>
<span id="cb4-151"><a href="#cb4-151" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">quantile =</span> <span class="fu">row_number</span>(),</span>
<span id="cb4-152"><a href="#cb4-152" aria-hidden="true" tabindex="-1"></a>           <span class="at">quantile =</span> <span class="fu">case_when</span>(quantile <span class="sc">==</span> <span class="dv">1</span> <span class="sc">~</span> <span class="st">&quot;low_ci&quot;</span>,</span>
<span id="cb4-153"><a href="#cb4-153" aria-hidden="true" tabindex="-1"></a>                                quantile <span class="sc">==</span> <span class="dv">2</span> <span class="sc">~</span> <span class="st">&quot;up_ci&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb4-154"><a href="#cb4-154" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_longer</span>(<span class="at">cols =</span> <span class="fu">starts_with</span>(<span class="st">&quot;t-&quot;</span>), <span class="at">names_to =</span> <span class="st">&quot;period&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">%&gt;%</span></span>
<span id="cb4-155"><a href="#cb4-155" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">&quot;quantile&quot;</span>, <span class="at">values_from =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb4-156"><a href="#cb4-156" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">substr</span>(period,<span class="dv">2</span>,<span class="dv">3</span>),</span>
<span id="cb4-157"><a href="#cb4-157" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">as.numeric</span>(period))</span>
<span id="cb4-158"><a href="#cb4-158" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-159"><a href="#cb4-159" aria-hidden="true" tabindex="-1"></a>  <span class="co"># join placebo estimates and placebo CIs</span></span>
<span id="cb4-160"><a href="#cb4-160" aria-hidden="true" tabindex="-1"></a>  gg.placebo <span class="ot">&lt;-</span> <span class="fu">left_join</span>(placebo_estimates, percentiles_longer,</span>
<span id="cb4-161"><a href="#cb4-161" aria-hidden="true" tabindex="-1"></a>                          <span class="at">by =</span> <span class="st">&quot;period&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb4-162"><a href="#cb4-162" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model)</span>
<span id="cb4-163"><a href="#cb4-163" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-164"><a href="#cb4-164" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bind placebo to treatment</span></span>
<span id="cb4-165"><a href="#cb4-165" aria-hidden="true" tabindex="-1"></a>  gg.tmp <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.placebo, gg.treat)</span>
<span id="cb4-166"><a href="#cb4-166" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-167"><a href="#cb4-167" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Add to main viz DF</span></span>
<span id="cb4-168"><a href="#cb4-168" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.did, gg.tmp)</span>
<span id="cb4-169"><a href="#cb4-169" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-170"><a href="#cb4-170" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb4-171"><a href="#cb4-171" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-172"><a href="#cb4-172" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-173"><a href="#cb4-173" aria-hidden="true" tabindex="-1"></a><span class="co"># PLOTS ------------------------------------------------------------------------</span></span>
<span id="cb4-174"><a href="#cb4-174" aria-hidden="true" tabindex="-1"></a><span class="co"># globally define settings</span></span>
<span id="cb4-175"><a href="#cb4-175" aria-hidden="true" tabindex="-1"></a>pre_color <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb4-176"><a href="#cb4-176" aria-hidden="true" tabindex="-1"></a>post_color <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb4-177"><a href="#cb4-177" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-178"><a href="#cb4-178" aria-hidden="true" tabindex="-1"></a>pre_fill <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb4-179"><a href="#cb4-179" aria-hidden="true" tabindex="-1"></a>post_fill <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb4-180"><a href="#cb4-180" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-181"><a href="#cb4-181" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-182"><a href="#cb4-182" aria-hidden="true" tabindex="-1"></a>pre_shape <span class="ot">&lt;-</span> <span class="dv">17</span></span>
<span id="cb4-183"><a href="#cb4-183" aria-hidden="true" tabindex="-1"></a>post_shape <span class="ot">&lt;-</span> <span class="dv">16</span></span>
<span id="cb4-184"><a href="#cb4-184" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-185"><a href="#cb4-185" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb4-186"><a href="#cb4-186" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb4-187"><a href="#cb4-187" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">pre =</span> <span class="fu">ifelse</span>(period <span class="sc">&lt;</span> <span class="dv">0</span>, <span class="st">&quot;pre&quot;</span>, <span class="st">&quot;post&quot;</span>))</span>
<span id="cb4-188"><a href="#cb4-188" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-189"><a href="#cb4-189" aria-hidden="true" tabindex="-1"></a><span class="co"># reorder</span></span>
<span id="cb4-190"><a href="#cb4-190" aria-hidden="true" tabindex="-1"></a>gg.did<span class="sc">$</span>model <span class="ot">&lt;-</span> <span class="fu">factor</span>(gg.did<span class="sc">$</span>model, <span class="at">levels =</span> models) </span>
<span id="cb4-191"><a href="#cb4-191" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-192"><a href="#cb4-192" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-193"><a href="#cb4-193" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-194"><a href="#cb4-194" aria-hidden="true" tabindex="-1"></a><span class="co"># Store it so don&#39;t have to bootstrap every time anew</span></span>
<span id="cb4-195"><a href="#cb4-195" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(gg.did,</span>
<span id="cb4-196"><a href="#cb4-196" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/ggdid.csv&quot;</span>))</span>
<span id="cb4-197"><a href="#cb4-197" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-198"><a href="#cb4-198" aria-hidden="true" tabindex="-1"></a><span class="co"># pick back up</span></span>
<span id="cb4-199"><a href="#cb4-199" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/ggdid.csv&quot;</span>))</span>
<span id="cb4-200"><a href="#cb4-200" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-201"><a href="#cb4-201" aria-hidden="true" tabindex="-1"></a><span class="co"># data wrangling for plot</span></span>
<span id="cb4-202"><a href="#cb4-202" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb4-203"><a href="#cb4-203" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb4-204"><a href="#cb4-204" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-205"><a href="#cb4-205" aria-hidden="true" tabindex="-1"></a>    <span class="co"># make it percentage points</span></span>
<span id="cb4-206"><a href="#cb4-206" aria-hidden="true" tabindex="-1"></a>    <span class="at">estimate =</span> estimate <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb4-207"><a href="#cb4-207" aria-hidden="true" tabindex="-1"></a>    <span class="at">low_ci =</span> low_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb4-208"><a href="#cb4-208" aria-hidden="true" tabindex="-1"></a>    <span class="at">up_ci =</span> up_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb4-209"><a href="#cb4-209" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-210"><a href="#cb4-210" aria-hidden="true" tabindex="-1"></a>    <span class="co"># add label for ggplot</span></span>
<span id="cb4-211"><a href="#cb4-211" aria-hidden="true" tabindex="-1"></a>    <span class="at">lab_text =</span> <span class="fu">case_when</span>(</span>
<span id="cb4-212"><a href="#cb4-212" aria-hidden="true" tabindex="-1"></a>      model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span> <span class="sc">&amp;</span> period <span class="sc">==</span> <span class="dv">0</span> <span class="sc">~</span> </span>
<span id="cb4-213"><a href="#cb4-213" aria-hidden="true" tabindex="-1"></a>        <span class="st">&quot;No increase in attention</span><span class="sc">\n</span><span class="st"> towards the environment</span><span class="sc">\n</span><span class="st"> after extreme weather events&quot;</span></span>
<span id="cb4-214"><a href="#cb4-214" aria-hidden="true" tabindex="-1"></a>      )</span>
<span id="cb4-215"><a href="#cb4-215" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb4-216"><a href="#cb4-216" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-217"><a href="#cb4-217" aria-hidden="true" tabindex="-1"></a><span class="co"># Store different model types for graphs</span></span>
<span id="cb4-218"><a href="#cb4-218" aria-hidden="true" tabindex="-1"></a><span class="do">## Models</span></span>
<span id="cb4-219"><a href="#cb4-219" aria-hidden="true" tabindex="-1"></a>overall <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Overall&quot;</span>)</span>
<span id="cb4-220"><a href="#cb4-220" aria-hidden="true" tabindex="-1"></a>families <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Green&quot;</span>, <span class="st">&quot;Left&quot;</span>, <span class="st">&quot;Right&quot;</span>)</span>
<span id="cb4-221"><a href="#cb4-221" aria-hidden="true" tabindex="-1"></a>govt_oppo <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Opposition&quot;</span>,<span class="st">&quot;Government&quot;</span>)</span>
<span id="cb4-222"><a href="#cb4-222" aria-hidden="true" tabindex="-1"></a>disaster_types <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Floods&quot;</span>, <span class="st">&quot;Storms&quot;</span>, <span class="st">&quot;Wildfires&quot;</span>, <span class="st">&quot;Extreme Temp.&quot;</span>)</span>
<span id="cb4-223"><a href="#cb4-223" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-224"><a href="#cb4-224" aria-hidden="true" tabindex="-1"></a>figmodels <span class="ot">&lt;-</span> <span class="fu">list</span>(overall, families, govt_oppo, disaster_types)</span>
<span id="cb4-225"><a href="#cb4-225" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-226"><a href="#cb4-226" aria-hidden="true" tabindex="-1"></a><span class="do">## names for plots</span></span>
<span id="cb4-227"><a href="#cb4-227" aria-hidden="true" tabindex="-1"></a>gg.names <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;overall&quot;</span>, <span class="st">&quot;families&quot;</span>, <span class="st">&quot;govt_oppo&quot;</span>, <span class="st">&quot;disaster_types&quot;</span>)</span>
<span id="cb4-228"><a href="#cb4-228" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-229"><a href="#cb4-229" aria-hidden="true" tabindex="-1"></a><span class="do">## titles within plots</span></span>
<span id="cb4-230"><a href="#cb4-230" aria-hidden="true" tabindex="-1"></a>gg.titles <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;&quot;</span>, <span class="st">&quot;Party Families&quot;</span>, <span class="st">&quot;Government Control&quot;</span>, <span class="st">&quot;Event Type&quot;</span>)</span>
<span id="cb4-231"><a href="#cb4-231" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-232"><a href="#cb4-232" aria-hidden="true" tabindex="-1"></a><span class="co"># Loop all plots</span></span>
<span id="cb4-233"><a href="#cb4-233" aria-hidden="true" tabindex="-1"></a>i <span class="ot">&lt;-</span> <span class="dv">1</span></span>
<span id="cb4-234"><a href="#cb4-234" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (figmodel <span class="cf">in</span> figmodels){</span>
<span id="cb4-235"><a href="#cb4-235" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="sc">|&gt;</span> </span>
<span id="cb4-236"><a href="#cb4-236" aria-hidden="true" tabindex="-1"></a>    <span class="fu">filter</span>(model <span class="sc">%in%</span> figmodel) <span class="sc">|&gt;</span> </span>
<span id="cb4-237"><a href="#cb4-237" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb4-238"><a href="#cb4-238" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-239"><a href="#cb4-239" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Gray pre treatment shade</span></span>
<span id="cb4-240"><a href="#cb4-240" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb4-241"><a href="#cb4-241" aria-hidden="true" tabindex="-1"></a>              <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb4-242"><a href="#cb4-242" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-243"><a href="#cb4-243" aria-hidden="true" tabindex="-1"></a>    <span class="co"># CIs</span></span>
<span id="cb4-244"><a href="#cb4-244" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb4-245"><a href="#cb4-245" aria-hidden="true" tabindex="-1"></a>                   <span class="at">alpha =</span> .<span class="dv">7</span>,</span>
<span id="cb4-246"><a href="#cb4-246" aria-hidden="true" tabindex="-1"></a>                   <span class="at">linewidth =</span> <span class="fl">0.75</span>) <span class="sc">+</span> </span>
<span id="cb4-247"><a href="#cb4-247" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-248"><a href="#cb4-248" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Coef</span></span>
<span id="cb4-249"><a href="#cb4-249" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb4-250"><a href="#cb4-250" aria-hidden="true" tabindex="-1"></a>               <span class="at">size =</span> <span class="dv">3</span>) <span class="sc">+</span> </span>
<span id="cb4-251"><a href="#cb4-251" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-252"><a href="#cb4-252" aria-hidden="true" tabindex="-1"></a>    <span class="co"># fixed lines</span></span>
<span id="cb4-253"><a href="#cb4-253" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb4-254"><a href="#cb4-254" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-255"><a href="#cb4-255" aria-hidden="true" tabindex="-1"></a>    <span class="co"># look</span></span>
<span id="cb4-256"><a href="#cb4-256" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ylab</span>(<span class="st">&quot;Percentage change in attention&quot;</span>) <span class="sc">+</span></span>
<span id="cb4-257"><a href="#cb4-257" aria-hidden="true" tabindex="-1"></a>    <span class="fu">xlab</span>(<span class="st">&quot;Weeks relative to extreme weather event&quot;</span>) <span class="sc">+</span> </span>
<span id="cb4-258"><a href="#cb4-258" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb4-259"><a href="#cb4-259" aria-hidden="true" tabindex="-1"></a>    <span class="fu">facet_wrap</span>(<span class="sc">~</span> model, </span>
<span id="cb4-260"><a href="#cb4-260" aria-hidden="true" tabindex="-1"></a>               <span class="at">scales =</span> <span class="st">&quot;free&quot;</span>, </span>
<span id="cb4-261"><a href="#cb4-261" aria-hidden="true" tabindex="-1"></a>               <span class="at">ncol =</span> <span class="dv">2</span>) <span class="sc">+</span></span>
<span id="cb4-262"><a href="#cb4-262" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb4-263"><a href="#cb4-263" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb4-264"><a href="#cb4-264" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb4-265"><a href="#cb4-265" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb4-266"><a href="#cb4-266" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb4-267"><a href="#cb4-267" aria-hidden="true" tabindex="-1"></a>                                 <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb4-268"><a href="#cb4-268" aria-hidden="true" tabindex="-1"></a>    <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb4-269"><a href="#cb4-269" aria-hidden="true" tabindex="-1"></a>           <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb4-270"><a href="#cb4-270" aria-hidden="true" tabindex="-1"></a>           <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb4-271"><a href="#cb4-271" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-272"><a href="#cb4-272" aria-hidden="true" tabindex="-1"></a>    <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb4-273"><a href="#cb4-273" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb4-274"><a href="#cb4-274" aria-hidden="true" tabindex="-1"></a>    <span class="co"># theme</span></span>
<span id="cb4-275"><a href="#cb4-275" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb4-276"><a href="#cb4-276" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb4-277"><a href="#cb4-277" aria-hidden="true" tabindex="-1"></a>          <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="sc">+</span></span>
<span id="cb4-278"><a href="#cb4-278" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggtitle</span>(gg.titles[i]) <span class="ot">-&gt;</span>  gg.tmp</span>
<span id="cb4-279"><a href="#cb4-279" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-280"><a href="#cb4-280" aria-hidden="true" tabindex="-1"></a>  <span class="fu">assign</span>(<span class="fu">paste0</span>(<span class="st">&quot;fig.&quot;</span>, gg.names[i]), gg.tmp)</span>
<span id="cb4-281"><a href="#cb4-281" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-282"><a href="#cb4-282" aria-hidden="true" tabindex="-1"></a>  i <span class="ot">&lt;-</span> i <span class="sc">+</span> <span class="dv">1</span></span>
<span id="cb4-283"><a href="#cb4-283" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb4-284"><a href="#cb4-284" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-285"><a href="#cb4-285" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-286"><a href="#cb4-286" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-287"><a href="#cb4-287" aria-hidden="true" tabindex="-1"></a><span class="co"># Annotate Overall graph individually</span></span>
<span id="cb4-288"><a href="#cb4-288" aria-hidden="true" tabindex="-1"></a>gg.did <span class="sc">|&gt;</span> </span>
<span id="cb4-289"><a href="#cb4-289" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(model <span class="sc">%in%</span> overall) <span class="sc">|&gt;</span> </span>
<span id="cb4-290"><a href="#cb4-290" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb4-291"><a href="#cb4-291" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-292"><a href="#cb4-292" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Gray pre treatment shade</span></span>
<span id="cb4-293"><a href="#cb4-293" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb4-294"><a href="#cb4-294" aria-hidden="true" tabindex="-1"></a>            <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb4-295"><a href="#cb4-295" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-296"><a href="#cb4-296" aria-hidden="true" tabindex="-1"></a>  <span class="co"># CIs</span></span>
<span id="cb4-297"><a href="#cb4-297" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb4-298"><a href="#cb4-298" aria-hidden="true" tabindex="-1"></a>                 <span class="at">linewidth =</span> <span class="fl">1.15</span>) <span class="sc">+</span> </span>
<span id="cb4-299"><a href="#cb4-299" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-300"><a href="#cb4-300" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Coef</span></span>
<span id="cb4-301"><a href="#cb4-301" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb4-302"><a href="#cb4-302" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">5</span>) <span class="sc">+</span> </span>
<span id="cb4-303"><a href="#cb4-303" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-304"><a href="#cb4-304" aria-hidden="true" tabindex="-1"></a>  <span class="co"># fixed lines</span></span>
<span id="cb4-305"><a href="#cb4-305" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb4-306"><a href="#cb4-306" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-307"><a href="#cb4-307" aria-hidden="true" tabindex="-1"></a>  <span class="co"># look</span></span>
<span id="cb4-308"><a href="#cb4-308" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ylab</span>(<span class="st">&quot; &quot;</span>) <span class="sc">+</span></span>
<span id="cb4-309"><a href="#cb4-309" aria-hidden="true" tabindex="-1"></a>  <span class="fu">xlab</span>(<span class="st">&quot; &quot;</span>) <span class="sc">+</span> </span>
<span id="cb4-310"><a href="#cb4-310" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb4-311"><a href="#cb4-311" aria-hidden="true" tabindex="-1"></a>  <span class="fu">facet_wrap</span>(<span class="sc">~</span> model) <span class="sc">+</span></span>
<span id="cb4-312"><a href="#cb4-312" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb4-313"><a href="#cb4-313" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb4-314"><a href="#cb4-314" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb4-315"><a href="#cb4-315" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb4-316"><a href="#cb4-316" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb4-317"><a href="#cb4-317" aria-hidden="true" tabindex="-1"></a>                               <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb4-318"><a href="#cb4-318" aria-hidden="true" tabindex="-1"></a>  <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb4-319"><a href="#cb4-319" aria-hidden="true" tabindex="-1"></a>         <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb4-320"><a href="#cb4-320" aria-hidden="true" tabindex="-1"></a>         <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb4-321"><a href="#cb4-321" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-322"><a href="#cb4-322" aria-hidden="true" tabindex="-1"></a>  <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb4-323"><a href="#cb4-323" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-324"><a href="#cb4-324" aria-hidden="true" tabindex="-1"></a>  <span class="co"># theme</span></span>
<span id="cb4-325"><a href="#cb4-325" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb4-326"><a href="#cb4-326" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb4-327"><a href="#cb4-327" aria-hidden="true" tabindex="-1"></a>        <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="ot">-&gt;</span>  fig.overall</span>
<span id="cb4-328"><a href="#cb4-328" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-329"><a href="#cb4-329" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-330"><a href="#cb4-330" aria-hidden="true" tabindex="-1"></a><span class="co"># Annotation for first graph</span></span>
<span id="cb4-331"><a href="#cb4-331" aria-hidden="true" tabindex="-1"></a>fig.overall_an <span class="ot">&lt;-</span> fig.overall <span class="sc">+</span> </span>
<span id="cb4-332"><a href="#cb4-332" aria-hidden="true" tabindex="-1"></a>  <span class="co">#  Annotation</span></span>
<span id="cb4-333"><a href="#cb4-333" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_curve</span>(</span>
<span id="cb4-334"><a href="#cb4-334" aria-hidden="true" tabindex="-1"></a>    <span class="at">data =</span> gg.did <span class="sc">|&gt;</span> <span class="fu">filter</span>(model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>, period <span class="sc">==</span> <span class="dv">0</span>),</span>
<span id="cb4-335"><a href="#cb4-335" aria-hidden="true" tabindex="-1"></a>    <span class="fu">aes</span>(</span>
<span id="cb4-336"><a href="#cb4-336" aria-hidden="true" tabindex="-1"></a>      <span class="at">x =</span> <span class="fl">0.95</span>,</span>
<span id="cb4-337"><a href="#cb4-337" aria-hidden="true" tabindex="-1"></a>      <span class="at">xend =</span> period <span class="sc">+</span> <span class="fl">0.15</span>, <span class="co"># nudge</span></span>
<span id="cb4-338"><a href="#cb4-338" aria-hidden="true" tabindex="-1"></a>      <span class="at">y =</span> <span class="dv">2</span> <span class="sc">-</span> <span class="fl">0.05</span>, <span class="co"># nudge,</span></span>
<span id="cb4-339"><a href="#cb4-339" aria-hidden="true" tabindex="-1"></a>      <span class="at">yend =</span> <span class="dv">0</span> <span class="sc">+</span> <span class="fl">0.2</span> <span class="co"># nudge</span></span>
<span id="cb4-340"><a href="#cb4-340" aria-hidden="true" tabindex="-1"></a>    ),</span>
<span id="cb4-341"><a href="#cb4-341" aria-hidden="true" tabindex="-1"></a>    <span class="at">color =</span> <span class="st">&quot;gray&quot;</span>,</span>
<span id="cb4-342"><a href="#cb4-342" aria-hidden="true" tabindex="-1"></a>    <span class="at">alpha =</span> <span class="dv">1</span>,</span>
<span id="cb4-343"><a href="#cb4-343" aria-hidden="true" tabindex="-1"></a>    <span class="at">curvature =</span> <span class="fl">0.1</span>,</span>
<span id="cb4-344"><a href="#cb4-344" aria-hidden="true" tabindex="-1"></a>    <span class="at">size =</span> <span class="fl">0.75</span>,</span>
<span id="cb4-345"><a href="#cb4-345" aria-hidden="true" tabindex="-1"></a>    <span class="at">arrow =</span> <span class="fu">arrow</span>(</span>
<span id="cb4-346"><a href="#cb4-346" aria-hidden="true" tabindex="-1"></a>      <span class="at">length =</span> <span class="fu">unit</span>(<span class="fl">0.025</span>, <span class="st">&quot;npc&quot;</span>)</span>
<span id="cb4-347"><a href="#cb4-347" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb4-348"><a href="#cb4-348" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">+</span></span>
<span id="cb4-349"><a href="#cb4-349" aria-hidden="true" tabindex="-1"></a>  <span class="co"># for each annotation, add a label</span></span>
<span id="cb4-350"><a href="#cb4-350" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_text</span>(</span>
<span id="cb4-351"><a href="#cb4-351" aria-hidden="true" tabindex="-1"></a>    <span class="at">data =</span> gg.did <span class="sc">|&gt;</span> <span class="fu">filter</span>(model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>, period <span class="sc">==</span> <span class="dv">0</span>),</span>
<span id="cb4-352"><a href="#cb4-352" aria-hidden="true" tabindex="-1"></a>    <span class="fu">aes</span>(</span>
<span id="cb4-353"><a href="#cb4-353" aria-hidden="true" tabindex="-1"></a>      <span class="at">x =</span> <span class="fl">2.5</span>,</span>
<span id="cb4-354"><a href="#cb4-354" aria-hidden="true" tabindex="-1"></a>      <span class="at">y =</span> <span class="dv">3</span>,</span>
<span id="cb4-355"><a href="#cb4-355" aria-hidden="true" tabindex="-1"></a>      <span class="at">label =</span> lab_text,</span>
<span id="cb4-356"><a href="#cb4-356" aria-hidden="true" tabindex="-1"></a>      <span class="at">color =</span> <span class="st">&quot;gray&quot;</span>,</span>
<span id="cb4-357"><a href="#cb4-357" aria-hidden="true" tabindex="-1"></a>      <span class="at">hjust =</span> <span class="fl">0.5</span>,</span>
<span id="cb4-358"><a href="#cb4-358" aria-hidden="true" tabindex="-1"></a>      <span class="at">vjust =</span> <span class="dv">1</span></span>
<span id="cb4-359"><a href="#cb4-359" aria-hidden="true" tabindex="-1"></a>    )) </span>
<span id="cb4-360"><a href="#cb4-360" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb4-361"><a href="#cb4-361" aria-hidden="true" tabindex="-1"></a>fig.overall_an</span>
<span id="cb4-362"><a href="#cb4-362" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-363"><a href="#cb4-363" aria-hidden="true" tabindex="-1"></a><span class="co"># bring all together, keep only one x-title</span></span>
<span id="cb4-364"><a href="#cb4-364" aria-hidden="true" tabindex="-1"></a>cowplot<span class="sc">::</span><span class="fu">plot_grid</span>(fig.overall_an <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb4-365"><a href="#cb4-365" aria-hidden="true" tabindex="-1"></a>                                          <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb4-366"><a href="#cb4-366" aria-hidden="true" tabindex="-1"></a>                   fig.families <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb4-367"><a href="#cb4-367" aria-hidden="true" tabindex="-1"></a>                                        <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb4-368"><a href="#cb4-368" aria-hidden="true" tabindex="-1"></a>                   fig.govt_oppo <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb4-369"><a href="#cb4-369" aria-hidden="true" tabindex="-1"></a>                                         <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb4-370"><a href="#cb4-370" aria-hidden="true" tabindex="-1"></a>                   fig.disaster_types <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>() ),</span>
<span id="cb4-371"><a href="#cb4-371" aria-hidden="true" tabindex="-1"></a>                   <span class="at">ncol =</span> <span class="dv">1</span>,</span>
<span id="cb4-372"><a href="#cb4-372" aria-hidden="true" tabindex="-1"></a>                   <span class="at">rel_heights =</span> <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">2</span>, <span class="fl">1.1</span>, <span class="dv">2</span>))  <span class="sc">+</span></span>
<span id="cb4-373"><a href="#cb4-373" aria-hidden="true" tabindex="-1"></a>  <span class="co"># manually add y-title</span></span>
<span id="cb4-374"><a href="#cb4-374" aria-hidden="true" tabindex="-1"></a>  <span class="fu">draw_label</span>(<span class="st">&quot;Change in issue attention to the environment&quot;</span>, </span>
<span id="cb4-375"><a href="#cb4-375" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">12</span>, <span class="at">angle =</span> <span class="dv">90</span>,</span>
<span id="cb4-376"><a href="#cb4-376" aria-hidden="true" tabindex="-1"></a>             <span class="at">x =</span> <span class="dv">0</span>) <span class="sc">+</span></span>
<span id="cb4-377"><a href="#cb4-377" aria-hidden="true" tabindex="-1"></a>  <span class="co"># increase margins so it&#39;s completely visible</span></span>
<span id="cb4-378"><a href="#cb4-378" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(</span>
<span id="cb4-379"><a href="#cb4-379" aria-hidden="true" tabindex="-1"></a>    <span class="at">plot.margin =</span> <span class="fu">margin</span>(<span class="at">t =</span> <span class="dv">0</span>, <span class="at">r =</span> <span class="dv">1</span>, <span class="at">b =</span> <span class="dv">0</span>, <span class="at">l =</span> <span class="dv">1</span>, <span class="st">&quot;cm&quot;</span>)) <span class="ot">-&gt;</span> fig.all</span>
<span id="cb4-380"><a href="#cb4-380" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-381"><a href="#cb4-381" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-382"><a href="#cb4-382" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb4-383"><a href="#cb4-383" aria-hidden="true" tabindex="-1"></a>fig.all </span>
<span id="cb4-384"><a href="#cb4-384" aria-hidden="true" tabindex="-1"></a><span class="fu">ggsave</span>(<span class="fu">here</span>(<span class="st">&quot;results/graphs/fig_02.pdf&quot;</span>),</span>
<span id="cb4-385"><a href="#cb4-385" aria-hidden="true" tabindex="-1"></a>       <span class="at">width =</span> <span class="dv">7</span>,</span>
<span id="cb4-386"><a href="#cb4-386" aria-hidden="true" tabindex="-1"></a>       <span class="at">height =</span> <span class="dv">15</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
</section>
<section id="extended-data" class="level1">
<h1>Extended Data</h1>
<section id="longer-time-horizon" class="level2">
<h2 class="anchored" data-anchor-id="longer-time-horizon">Longer time horizon</h2>
<p>Because extreme weather events might take longer time to unfold their political potential, we recreated our main analysis but relied on months, instead of weeks as the unit of time. The analysis underlying Extended Data Figure 1 in the paper is replicable with <code>scripts/04_robustness_months.R</code>.</p>
<div class="cell">
<details>
<summary>Show code: scripts/04_robustness_months</summary>
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES --------------------------------------------------------------------</span></span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a>  PanelMatch,</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a>  panelView,</span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a>  ggpubr,</span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a>  ggrepel,</span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a>  cowplot,</span>
<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a><span class="co"># DATA WRANGLING FOR PANELMATCH ------------------------------------------------</span></span>
<span id="cb5-15"><a href="#cb5-15" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_monthly.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb5-16"><a href="#cb5-16" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb5-17"><a href="#cb5-17" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-18"><a href="#cb5-18" aria-hidden="true" tabindex="-1"></a>    <span class="co"># only integers allowed </span></span>
<span id="cb5-19"><a href="#cb5-19" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> <span class="fu">as.integer</span>(parlgov_id),</span>
<span id="cb5-20"><a href="#cb5-20" aria-hidden="true" tabindex="-1"></a>    <span class="at">t =</span> <span class="fu">as.integer</span>(t),</span>
<span id="cb5-21"><a href="#cb5-21" aria-hidden="true" tabindex="-1"></a>    <span class="at">country =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(country_name)),</span>
<span id="cb5-22"><a href="#cb5-22" aria-hidden="true" tabindex="-1"></a>    <span class="at">family =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(family_name_short)),</span>
<span id="cb5-23"><a href="#cb5-23" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-24"><a href="#cb5-24" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb5-25"><a href="#cb5-25" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-26"><a href="#cb5-26" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
<span id="cb5-27"><a href="#cb5-27" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-28"><a href="#cb5-28" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Covs</span></span>
<span id="cb5-29"><a href="#cb5-29" aria-hidden="true" tabindex="-1"></a>    parlgov_id, t, family, country, cabinet_party,</span>
<span id="cb5-30"><a href="#cb5-30" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-31"><a href="#cb5-31" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Treatments</span></span>
<span id="cb5-32"><a href="#cb5-32" aria-hidden="true" tabindex="-1"></a>    treat, treat_flood, treat_storm, treat_fire, treat_temp,</span>
<span id="cb5-33"><a href="#cb5-33" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-34"><a href="#cb5-34" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Outcome</span></span>
<span id="cb5-35"><a href="#cb5-35" aria-hidden="true" tabindex="-1"></a>    issue_7, pr_total</span>
<span id="cb5-36"><a href="#cb5-36" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-37"><a href="#cb5-37" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb5-38"><a href="#cb5-38" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-39"><a href="#cb5-39" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb5-40"><a href="#cb5-40" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-41"><a href="#cb5-41" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> issue_7 <span class="sc">/</span> pr_total,</span>
<span id="cb5-42"><a href="#cb5-42" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome), <span class="dv">0</span>, outcome) </span>
<span id="cb5-43"><a href="#cb5-43" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-44"><a href="#cb5-44" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb5-45"><a href="#cb5-45" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-46"><a href="#cb5-46" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb5-47"><a href="#cb5-47" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-48"><a href="#cb5-48" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(parlgov_id)) </span>
<span id="cb5-49"><a href="#cb5-49" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-50"><a href="#cb5-50" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-51"><a href="#cb5-51" aria-hidden="true" tabindex="-1"></a><span class="co"># Globally define leads and lags, iterations</span></span>
<span id="cb5-52"><a href="#cb5-52" aria-hidden="true" tabindex="-1"></a>lag <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb5-53"><a href="#cb5-53" aria-hidden="true" tabindex="-1"></a>lead <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb5-54"><a href="#cb5-54" aria-hidden="true" tabindex="-1"></a>n_iterations <span class="ot">&lt;-</span> <span class="dv">1000</span></span>
<span id="cb5-55"><a href="#cb5-55" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-56"><a href="#cb5-56" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-57"><a href="#cb5-57" aria-hidden="true" tabindex="-1"></a><span class="co"># create empty tibble for data viz</span></span>
<span id="cb5-58"><a href="#cb5-58" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
<span id="cb5-59"><a href="#cb5-59" aria-hidden="true" tabindex="-1"></a>  <span class="at">coef =</span> <span class="fu">numeric</span>(), </span>
<span id="cb5-60"><a href="#cb5-60" aria-hidden="true" tabindex="-1"></a>  <span class="at">se =</span> <span class="fu">numeric</span>(),</span>
<span id="cb5-61"><a href="#cb5-61" aria-hidden="true" tabindex="-1"></a>  <span class="at">model =</span> <span class="fu">numeric</span>()</span>
<span id="cb5-62"><a href="#cb5-62" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb5-63"><a href="#cb5-63" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-64"><a href="#cb5-64" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-65"><a href="#cb5-65" aria-hidden="true" tabindex="-1"></a><span class="co"># LOOPS TO CREATE ONE GRAPH ACROSS ALL MODELS ----------------------------------</span></span>
<span id="cb5-66"><a href="#cb5-66" aria-hidden="true" tabindex="-1"></a>models <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Overall&quot;</span>,</span>
<span id="cb5-67"><a href="#cb5-67" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Green&quot;</span>,</span>
<span id="cb5-68"><a href="#cb5-68" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Left&quot;</span>,</span>
<span id="cb5-69"><a href="#cb5-69" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Right&quot;</span>,</span>
<span id="cb5-70"><a href="#cb5-70" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Opposition&quot;</span>,</span>
<span id="cb5-71"><a href="#cb5-71" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Government&quot;</span>,</span>
<span id="cb5-72"><a href="#cb5-72" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Floods&quot;</span>,</span>
<span id="cb5-73"><a href="#cb5-73" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Storms&quot;</span>,</span>
<span id="cb5-74"><a href="#cb5-74" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Wildfires&quot;</span>,</span>
<span id="cb5-75"><a href="#cb5-75" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Extreme Temp.&quot;</span>)</span>
<span id="cb5-76"><a href="#cb5-76" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-77"><a href="#cb5-77" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (model <span class="cf">in</span> models) {</span>
<span id="cb5-78"><a href="#cb5-78" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>) {</span>
<span id="cb5-79"><a href="#cb5-79" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch</span>
<span id="cb5-80"><a href="#cb5-80" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Green&quot;</span>) {</span>
<span id="cb5-81"><a href="#cb5-81" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">==</span> <span class="dv">5</span>) </span>
<span id="cb5-82"><a href="#cb5-82" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Left&quot;</span>) {</span>
<span id="cb5-83"><a href="#cb5-83" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">%in%</span> <span class="fu">c</span>(<span class="dv">3</span>,<span class="dv">6</span>,<span class="dv">8</span>)) <span class="co"># Com, lib, soc</span></span>
<span id="cb5-84"><a href="#cb5-84" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Right&quot;</span>) {</span>
<span id="cb5-85"><a href="#cb5-85" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">%in%</span> <span class="fu">c</span>(<span class="dv">2</span>,<span class="dv">4</span>,<span class="dv">7</span>)) <span class="co"># Christian, Cons, Radical Right</span></span>
<span id="cb5-86"><a href="#cb5-86" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Opposition&quot;</span>) {</span>
<span id="cb5-87"><a href="#cb5-87" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(cabinet_party <span class="sc">==</span> <span class="dv">0</span>)</span>
<span id="cb5-88"><a href="#cb5-88" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Government&quot;</span>) {</span>
<span id="cb5-89"><a href="#cb5-89" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(cabinet_party <span class="sc">==</span> <span class="dv">1</span>)</span>
<span id="cb5-90"><a href="#cb5-90" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Floods&quot;</span>) {</span>
<span id="cb5-91"><a href="#cb5-91" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_flood)</span>
<span id="cb5-92"><a href="#cb5-92" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Storms&quot;</span>) {</span>
<span id="cb5-93"><a href="#cb5-93" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_storm)</span>
<span id="cb5-94"><a href="#cb5-94" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Wildfires&quot;</span>) {</span>
<span id="cb5-95"><a href="#cb5-95" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_fire)</span>
<span id="cb5-96"><a href="#cb5-96" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Extreme Temp.&quot;</span>) {</span>
<span id="cb5-97"><a href="#cb5-97" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_temp)</span>
<span id="cb5-98"><a href="#cb5-98" aria-hidden="true" tabindex="-1"></a>  } </span>
<span id="cb5-99"><a href="#cb5-99" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-100"><a href="#cb5-100" aria-hidden="true" tabindex="-1"></a>  PM.results <span class="ot">&lt;-</span> <span class="fu">PanelMatch</span>(<span class="at">lag =</span> lag, </span>
<span id="cb5-101"><a href="#cb5-101" aria-hidden="true" tabindex="-1"></a>                           <span class="at">lead =</span> <span class="dv">0</span><span class="sc">:</span>lead, </span>
<span id="cb5-102"><a href="#cb5-102" aria-hidden="true" tabindex="-1"></a>                           <span class="at">data =</span> df.tmp,</span>
<span id="cb5-103"><a href="#cb5-103" aria-hidden="true" tabindex="-1"></a>                           <span class="at">time.id =</span> <span class="st">&quot;t&quot;</span>, </span>
<span id="cb5-104"><a href="#cb5-104" aria-hidden="true" tabindex="-1"></a>                           <span class="at">unit.id =</span> <span class="st">&quot;parlgov_id&quot;</span>,</span>
<span id="cb5-105"><a href="#cb5-105" aria-hidden="true" tabindex="-1"></a>                           <span class="at">treatment =</span> <span class="st">&quot;treat&quot;</span>, </span>
<span id="cb5-106"><a href="#cb5-106" aria-hidden="true" tabindex="-1"></a>                           <span class="at">outcome.var =</span> <span class="st">&quot;outcome&quot;</span>,</span>
<span id="cb5-107"><a href="#cb5-107" aria-hidden="true" tabindex="-1"></a>                           <span class="at">match.missing =</span> <span class="cn">TRUE</span>,</span>
<span id="cb5-108"><a href="#cb5-108" aria-hidden="true" tabindex="-1"></a>                           <span class="at">refinement.method =</span> <span class="st">&quot;mahalanobis&quot;</span>,</span>
<span id="cb5-109"><a href="#cb5-109" aria-hidden="true" tabindex="-1"></a>                           <span class="at">covs.formula =</span> <span class="sc">~</span> <span class="fu">I</span>(<span class="fu">lag</span>(outcome, <span class="dv">1</span><span class="sc">:</span>lead)),</span>
<span id="cb5-110"><a href="#cb5-110" aria-hidden="true" tabindex="-1"></a>                           <span class="at">exact.match.variables =</span> <span class="st">&quot;family&quot;</span>,</span>
<span id="cb5-111"><a href="#cb5-111" aria-hidden="true" tabindex="-1"></a>                           <span class="at">size.match =</span> <span class="dv">10</span>, </span>
<span id="cb5-112"><a href="#cb5-112" aria-hidden="true" tabindex="-1"></a>                           <span class="at">qoi =</span> <span class="st">&quot;att&quot;</span>,</span>
<span id="cb5-113"><a href="#cb5-113" aria-hidden="true" tabindex="-1"></a>                           <span class="at">forbid.treatment.reversal =</span> <span class="cn">FALSE</span>)</span>
<span id="cb5-114"><a href="#cb5-114" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-115"><a href="#cb5-115" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-116"><a href="#cb5-116" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Treatment</span></span>
<span id="cb5-117"><a href="#cb5-117" aria-hidden="true" tabindex="-1"></a>  PE.treat <span class="ot">&lt;-</span> <span class="fu">PanelEstimate</span>(<span class="at">sets =</span> PM.results, </span>
<span id="cb5-118"><a href="#cb5-118" aria-hidden="true" tabindex="-1"></a>                            <span class="at">data =</span> df.tmp,</span>
<span id="cb5-119"><a href="#cb5-119" aria-hidden="true" tabindex="-1"></a>                            <span class="at">se.method =</span> <span class="st">&quot;bootstrap&quot;</span>,</span>
<span id="cb5-120"><a href="#cb5-120" aria-hidden="true" tabindex="-1"></a>                            <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb5-121"><a href="#cb5-121" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-122"><a href="#cb5-122" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Store Coefs and SEs</span></span>
<span id="cb5-123"><a href="#cb5-123" aria-hidden="true" tabindex="-1"></a>  gg.treat <span class="ot">&lt;-</span> <span class="fu">summary</span>(PE.treat, </span>
<span id="cb5-124"><a href="#cb5-124" aria-hidden="true" tabindex="-1"></a>                      <span class="at">verbose =</span> F, </span>
<span id="cb5-125"><a href="#cb5-125" aria-hidden="true" tabindex="-1"></a>                      <span class="at">bias.corrected =</span> F) <span class="sc">|&gt;</span> </span>
<span id="cb5-126"><a href="#cb5-126" aria-hidden="true" tabindex="-1"></a>    <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb5-127"><a href="#cb5-127" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model,</span>
<span id="cb5-128"><a href="#cb5-128" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb5-129"><a href="#cb5-129" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">low_ci =</span> <span class="st">`</span><span class="at">2.5%</span><span class="st">`</span>,</span>
<span id="cb5-130"><a href="#cb5-130" aria-hidden="true" tabindex="-1"></a>           <span class="at">up_ci =</span> <span class="st">`</span><span class="at">97.5%</span><span class="st">`</span>) <span class="sc">|&gt;</span> </span>
<span id="cb5-131"><a href="#cb5-131" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(<span class="sc">-</span>std.error)</span>
<span id="cb5-132"><a href="#cb5-132" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-133"><a href="#cb5-133" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Placebo</span></span>
<span id="cb5-134"><a href="#cb5-134" aria-hidden="true" tabindex="-1"></a>  PE.placebo <span class="ot">&lt;-</span> <span class="fu">placebo_test</span>(PM.results, </span>
<span id="cb5-135"><a href="#cb5-135" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.tmp, </span>
<span id="cb5-136"><a href="#cb5-136" aria-hidden="true" tabindex="-1"></a>                             <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb5-137"><a href="#cb5-137" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-138"><a href="#cb5-138" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo estimates  </span></span>
<span id="cb5-139"><a href="#cb5-139" aria-hidden="true" tabindex="-1"></a>  placebo_estimates <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb5-140"><a href="#cb5-140" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> (lead <span class="sc">+</span> <span class="dv">1</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb5-141"><a href="#cb5-141" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">estimate =</span> value) </span>
<span id="cb5-142"><a href="#cb5-142" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-143"><a href="#cb5-143" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-144"><a href="#cb5-144" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo CIs, percentiles from bootstrapping</span></span>
<span id="cb5-145"><a href="#cb5-145" aria-hidden="true" tabindex="-1"></a>  percentiles <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>bootstrapped.estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb5-146"><a href="#cb5-146" aria-hidden="true" tabindex="-1"></a>    <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="fu">everything</span>(), <span class="sc">~</span> <span class="fu">quantile</span>(., <span class="at">probs =</span> <span class="fu">c</span>(<span class="fl">0.025</span>, <span class="fl">0.975</span>)))) </span>
<span id="cb5-147"><a href="#cb5-147" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-148"><a href="#cb5-148" aria-hidden="true" tabindex="-1"></a>  percentiles_longer <span class="ot">&lt;-</span> percentiles <span class="sc">|&gt;</span> </span>
<span id="cb5-149"><a href="#cb5-149" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">quantile =</span> <span class="fu">row_number</span>(),</span>
<span id="cb5-150"><a href="#cb5-150" aria-hidden="true" tabindex="-1"></a>           <span class="at">quantile =</span> <span class="fu">case_when</span>(quantile <span class="sc">==</span> <span class="dv">1</span> <span class="sc">~</span> <span class="st">&quot;low_ci&quot;</span>,</span>
<span id="cb5-151"><a href="#cb5-151" aria-hidden="true" tabindex="-1"></a>                                quantile <span class="sc">==</span> <span class="dv">2</span> <span class="sc">~</span> <span class="st">&quot;up_ci&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb5-152"><a href="#cb5-152" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_longer</span>(<span class="at">cols =</span> <span class="fu">starts_with</span>(<span class="st">&quot;t-&quot;</span>), <span class="at">names_to =</span> <span class="st">&quot;period&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">%&gt;%</span></span>
<span id="cb5-153"><a href="#cb5-153" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">&quot;quantile&quot;</span>, <span class="at">values_from =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb5-154"><a href="#cb5-154" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">substr</span>(period,<span class="dv">2</span>,<span class="dv">3</span>),</span>
<span id="cb5-155"><a href="#cb5-155" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">as.numeric</span>(period))</span>
<span id="cb5-156"><a href="#cb5-156" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-157"><a href="#cb5-157" aria-hidden="true" tabindex="-1"></a>  <span class="co"># join placebo estimates and placebo CIs</span></span>
<span id="cb5-158"><a href="#cb5-158" aria-hidden="true" tabindex="-1"></a>  gg.placebo <span class="ot">&lt;-</span> <span class="fu">left_join</span>(placebo_estimates, percentiles_longer,</span>
<span id="cb5-159"><a href="#cb5-159" aria-hidden="true" tabindex="-1"></a>                          <span class="at">by =</span> <span class="st">&quot;period&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb5-160"><a href="#cb5-160" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model)</span>
<span id="cb5-161"><a href="#cb5-161" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-162"><a href="#cb5-162" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bind placebo to treatment</span></span>
<span id="cb5-163"><a href="#cb5-163" aria-hidden="true" tabindex="-1"></a>  gg.tmp <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.placebo, gg.treat)</span>
<span id="cb5-164"><a href="#cb5-164" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-165"><a href="#cb5-165" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Add to main viz DF</span></span>
<span id="cb5-166"><a href="#cb5-166" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.did, gg.tmp)</span>
<span id="cb5-167"><a href="#cb5-167" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-168"><a href="#cb5-168" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb5-169"><a href="#cb5-169" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-170"><a href="#cb5-170" aria-hidden="true" tabindex="-1"></a><span class="co"># PLOTS ------------------------------------------------------------------------</span></span>
<span id="cb5-171"><a href="#cb5-171" aria-hidden="true" tabindex="-1"></a><span class="co"># globally define settings</span></span>
<span id="cb5-172"><a href="#cb5-172" aria-hidden="true" tabindex="-1"></a>pre_color <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb5-173"><a href="#cb5-173" aria-hidden="true" tabindex="-1"></a>post_color <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb5-174"><a href="#cb5-174" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-175"><a href="#cb5-175" aria-hidden="true" tabindex="-1"></a>pre_fill <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb5-176"><a href="#cb5-176" aria-hidden="true" tabindex="-1"></a>post_fill <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb5-177"><a href="#cb5-177" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-178"><a href="#cb5-178" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-179"><a href="#cb5-179" aria-hidden="true" tabindex="-1"></a>pre_shape <span class="ot">&lt;-</span> <span class="dv">17</span></span>
<span id="cb5-180"><a href="#cb5-180" aria-hidden="true" tabindex="-1"></a>post_shape <span class="ot">&lt;-</span> <span class="dv">16</span></span>
<span id="cb5-181"><a href="#cb5-181" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-182"><a href="#cb5-182" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-183"><a href="#cb5-183" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb5-184"><a href="#cb5-184" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb5-185"><a href="#cb5-185" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">pre =</span> <span class="fu">ifelse</span>(period <span class="sc">&lt;</span> <span class="dv">0</span>, <span class="st">&quot;pre&quot;</span>, <span class="st">&quot;post&quot;</span>))</span>
<span id="cb5-186"><a href="#cb5-186" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-187"><a href="#cb5-187" aria-hidden="true" tabindex="-1"></a><span class="co"># reorder</span></span>
<span id="cb5-188"><a href="#cb5-188" aria-hidden="true" tabindex="-1"></a>gg.did<span class="sc">$</span>model <span class="ot">&lt;-</span> <span class="fu">factor</span>(gg.did<span class="sc">$</span>model, <span class="at">levels =</span> models) </span>
<span id="cb5-189"><a href="#cb5-189" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-190"><a href="#cb5-190" aria-hidden="true" tabindex="-1"></a><span class="co"># data wrangling for plot</span></span>
<span id="cb5-191"><a href="#cb5-191" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb5-192"><a href="#cb5-192" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb5-193"><a href="#cb5-193" aria-hidden="true" tabindex="-1"></a>    <span class="co"># make it percentage points</span></span>
<span id="cb5-194"><a href="#cb5-194" aria-hidden="true" tabindex="-1"></a>    <span class="at">estimate =</span> estimate <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb5-195"><a href="#cb5-195" aria-hidden="true" tabindex="-1"></a>    <span class="at">low_ci =</span> low_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb5-196"><a href="#cb5-196" aria-hidden="true" tabindex="-1"></a>    <span class="at">up_ci =</span> up_ci <span class="sc">*</span> <span class="dv">100</span></span>
<span id="cb5-197"><a href="#cb5-197" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb5-198"><a href="#cb5-198" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-199"><a href="#cb5-199" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-200"><a href="#cb5-200" aria-hidden="true" tabindex="-1"></a><span class="co"># Store different model types for graphs</span></span>
<span id="cb5-201"><a href="#cb5-201" aria-hidden="true" tabindex="-1"></a><span class="do">## Models</span></span>
<span id="cb5-202"><a href="#cb5-202" aria-hidden="true" tabindex="-1"></a>overall <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Overall&quot;</span>)</span>
<span id="cb5-203"><a href="#cb5-203" aria-hidden="true" tabindex="-1"></a>families <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Green&quot;</span>, <span class="st">&quot;Left&quot;</span>, <span class="st">&quot;Right&quot;</span>)</span>
<span id="cb5-204"><a href="#cb5-204" aria-hidden="true" tabindex="-1"></a>govt_oppo <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Opposition&quot;</span>,<span class="st">&quot;Government&quot;</span>)</span>
<span id="cb5-205"><a href="#cb5-205" aria-hidden="true" tabindex="-1"></a>disaster_types <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Floods&quot;</span>, <span class="st">&quot;Storms&quot;</span>, <span class="st">&quot;Wildfires&quot;</span>, <span class="st">&quot;Extreme Temp.&quot;</span>)</span>
<span id="cb5-206"><a href="#cb5-206" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-207"><a href="#cb5-207" aria-hidden="true" tabindex="-1"></a>figmodels <span class="ot">&lt;-</span> <span class="fu">list</span>(overall, families, govt_oppo, disaster_types)</span>
<span id="cb5-208"><a href="#cb5-208" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-209"><a href="#cb5-209" aria-hidden="true" tabindex="-1"></a><span class="do">## names for plots</span></span>
<span id="cb5-210"><a href="#cb5-210" aria-hidden="true" tabindex="-1"></a>gg.names <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;overall&quot;</span>, <span class="st">&quot;families&quot;</span>, <span class="st">&quot;govt_oppo&quot;</span>, <span class="st">&quot;disaster_types&quot;</span>)</span>
<span id="cb5-211"><a href="#cb5-211" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-212"><a href="#cb5-212" aria-hidden="true" tabindex="-1"></a><span class="do">## titles within plots</span></span>
<span id="cb5-213"><a href="#cb5-213" aria-hidden="true" tabindex="-1"></a>gg.titles <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;&quot;</span>, <span class="st">&quot;Party Families&quot;</span>, <span class="st">&quot;Government Control&quot;</span>, <span class="st">&quot;Event Type&quot;</span>)</span>
<span id="cb5-214"><a href="#cb5-214" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-215"><a href="#cb5-215" aria-hidden="true" tabindex="-1"></a><span class="co"># Loop all plots</span></span>
<span id="cb5-216"><a href="#cb5-216" aria-hidden="true" tabindex="-1"></a>i <span class="ot">&lt;-</span> <span class="dv">1</span></span>
<span id="cb5-217"><a href="#cb5-217" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (figmodel <span class="cf">in</span> figmodels){</span>
<span id="cb5-218"><a href="#cb5-218" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="sc">|&gt;</span> </span>
<span id="cb5-219"><a href="#cb5-219" aria-hidden="true" tabindex="-1"></a>    <span class="fu">filter</span>(model <span class="sc">%in%</span> figmodel) <span class="sc">|&gt;</span> </span>
<span id="cb5-220"><a href="#cb5-220" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb5-221"><a href="#cb5-221" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-222"><a href="#cb5-222" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Gray pre treatment shade</span></span>
<span id="cb5-223"><a href="#cb5-223" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb5-224"><a href="#cb5-224" aria-hidden="true" tabindex="-1"></a>              <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb5-225"><a href="#cb5-225" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-226"><a href="#cb5-226" aria-hidden="true" tabindex="-1"></a>    <span class="co"># CIs</span></span>
<span id="cb5-227"><a href="#cb5-227" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb5-228"><a href="#cb5-228" aria-hidden="true" tabindex="-1"></a>                   <span class="at">alpha =</span> .<span class="dv">7</span>,</span>
<span id="cb5-229"><a href="#cb5-229" aria-hidden="true" tabindex="-1"></a>                   <span class="at">linewidth =</span> <span class="fl">0.75</span>) <span class="sc">+</span> </span>
<span id="cb5-230"><a href="#cb5-230" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-231"><a href="#cb5-231" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Coef</span></span>
<span id="cb5-232"><a href="#cb5-232" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb5-233"><a href="#cb5-233" aria-hidden="true" tabindex="-1"></a>               <span class="at">size =</span> <span class="dv">3</span>) <span class="sc">+</span> </span>
<span id="cb5-234"><a href="#cb5-234" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-235"><a href="#cb5-235" aria-hidden="true" tabindex="-1"></a>    <span class="co"># fixed lines</span></span>
<span id="cb5-236"><a href="#cb5-236" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb5-237"><a href="#cb5-237" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-238"><a href="#cb5-238" aria-hidden="true" tabindex="-1"></a>    <span class="co"># look</span></span>
<span id="cb5-239"><a href="#cb5-239" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ylab</span>(<span class="st">&quot;Percentage change in attention&quot;</span>) <span class="sc">+</span></span>
<span id="cb5-240"><a href="#cb5-240" aria-hidden="true" tabindex="-1"></a>    <span class="fu">xlab</span>(<span class="st">&quot;Month relative to extreme weather event&quot;</span>) <span class="sc">+</span> </span>
<span id="cb5-241"><a href="#cb5-241" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb5-242"><a href="#cb5-242" aria-hidden="true" tabindex="-1"></a>    <span class="fu">facet_wrap</span>(<span class="sc">~</span> model, </span>
<span id="cb5-243"><a href="#cb5-243" aria-hidden="true" tabindex="-1"></a>               <span class="at">scales =</span> <span class="st">&quot;free&quot;</span>, </span>
<span id="cb5-244"><a href="#cb5-244" aria-hidden="true" tabindex="-1"></a>               <span class="at">ncol =</span> <span class="dv">2</span>) <span class="sc">+</span></span>
<span id="cb5-245"><a href="#cb5-245" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb5-246"><a href="#cb5-246" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb5-247"><a href="#cb5-247" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb5-248"><a href="#cb5-248" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb5-249"><a href="#cb5-249" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb5-250"><a href="#cb5-250" aria-hidden="true" tabindex="-1"></a>                                 <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb5-251"><a href="#cb5-251" aria-hidden="true" tabindex="-1"></a>    <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb5-252"><a href="#cb5-252" aria-hidden="true" tabindex="-1"></a>           <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb5-253"><a href="#cb5-253" aria-hidden="true" tabindex="-1"></a>           <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb5-254"><a href="#cb5-254" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-255"><a href="#cb5-255" aria-hidden="true" tabindex="-1"></a>    <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb5-256"><a href="#cb5-256" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb5-257"><a href="#cb5-257" aria-hidden="true" tabindex="-1"></a>    <span class="co"># theme</span></span>
<span id="cb5-258"><a href="#cb5-258" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb5-259"><a href="#cb5-259" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb5-260"><a href="#cb5-260" aria-hidden="true" tabindex="-1"></a>          <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="sc">+</span></span>
<span id="cb5-261"><a href="#cb5-261" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggtitle</span>(gg.titles[i]) <span class="ot">-&gt;</span>  gg.tmp</span>
<span id="cb5-262"><a href="#cb5-262" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-263"><a href="#cb5-263" aria-hidden="true" tabindex="-1"></a>  <span class="fu">assign</span>(<span class="fu">paste0</span>(<span class="st">&quot;fig.&quot;</span>, gg.names[i]), gg.tmp)</span>
<span id="cb5-264"><a href="#cb5-264" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-265"><a href="#cb5-265" aria-hidden="true" tabindex="-1"></a>  i <span class="ot">&lt;-</span> i <span class="sc">+</span> <span class="dv">1</span></span>
<span id="cb5-266"><a href="#cb5-266" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb5-267"><a href="#cb5-267" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-268"><a href="#cb5-268" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-269"><a href="#cb5-269" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-270"><a href="#cb5-270" aria-hidden="true" tabindex="-1"></a><span class="co"># Annotate Overall first</span></span>
<span id="cb5-271"><a href="#cb5-271" aria-hidden="true" tabindex="-1"></a>gg.did <span class="sc">|&gt;</span> </span>
<span id="cb5-272"><a href="#cb5-272" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(model <span class="sc">%in%</span> overall) <span class="sc">|&gt;</span> </span>
<span id="cb5-273"><a href="#cb5-273" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb5-274"><a href="#cb5-274" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-275"><a href="#cb5-275" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Gray pre treatment shade</span></span>
<span id="cb5-276"><a href="#cb5-276" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb5-277"><a href="#cb5-277" aria-hidden="true" tabindex="-1"></a>            <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb5-278"><a href="#cb5-278" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-279"><a href="#cb5-279" aria-hidden="true" tabindex="-1"></a>  <span class="co"># CIs</span></span>
<span id="cb5-280"><a href="#cb5-280" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb5-281"><a href="#cb5-281" aria-hidden="true" tabindex="-1"></a>                 <span class="at">linewidth =</span> <span class="fl">1.15</span>) <span class="sc">+</span> </span>
<span id="cb5-282"><a href="#cb5-282" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-283"><a href="#cb5-283" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Coef</span></span>
<span id="cb5-284"><a href="#cb5-284" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb5-285"><a href="#cb5-285" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">5</span>) <span class="sc">+</span> </span>
<span id="cb5-286"><a href="#cb5-286" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-287"><a href="#cb5-287" aria-hidden="true" tabindex="-1"></a>  <span class="co"># fixed lines</span></span>
<span id="cb5-288"><a href="#cb5-288" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb5-289"><a href="#cb5-289" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-290"><a href="#cb5-290" aria-hidden="true" tabindex="-1"></a>  <span class="co"># look</span></span>
<span id="cb5-291"><a href="#cb5-291" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ylab</span>(<span class="st">&quot; &quot;</span>) <span class="sc">+</span></span>
<span id="cb5-292"><a href="#cb5-292" aria-hidden="true" tabindex="-1"></a>  <span class="fu">xlab</span>(<span class="st">&quot; &quot;</span>) <span class="sc">+</span> </span>
<span id="cb5-293"><a href="#cb5-293" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb5-294"><a href="#cb5-294" aria-hidden="true" tabindex="-1"></a>  <span class="fu">facet_wrap</span>(<span class="sc">~</span> model) <span class="sc">+</span></span>
<span id="cb5-295"><a href="#cb5-295" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb5-296"><a href="#cb5-296" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb5-297"><a href="#cb5-297" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb5-298"><a href="#cb5-298" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb5-299"><a href="#cb5-299" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb5-300"><a href="#cb5-300" aria-hidden="true" tabindex="-1"></a>                               <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb5-301"><a href="#cb5-301" aria-hidden="true" tabindex="-1"></a>  <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb5-302"><a href="#cb5-302" aria-hidden="true" tabindex="-1"></a>         <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb5-303"><a href="#cb5-303" aria-hidden="true" tabindex="-1"></a>         <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb5-304"><a href="#cb5-304" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-305"><a href="#cb5-305" aria-hidden="true" tabindex="-1"></a>  <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb5-306"><a href="#cb5-306" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb5-307"><a href="#cb5-307" aria-hidden="true" tabindex="-1"></a>  <span class="co"># theme</span></span>
<span id="cb5-308"><a href="#cb5-308" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb5-309"><a href="#cb5-309" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb5-310"><a href="#cb5-310" aria-hidden="true" tabindex="-1"></a>        <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="ot">-&gt;</span>  fig.overall</span>
<span id="cb5-311"><a href="#cb5-311" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-312"><a href="#cb5-312" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-313"><a href="#cb5-313" aria-hidden="true" tabindex="-1"></a><span class="co"># bring all together, keep only one x-title</span></span>
<span id="cb5-314"><a href="#cb5-314" aria-hidden="true" tabindex="-1"></a>cowplot<span class="sc">::</span><span class="fu">plot_grid</span>(fig.overall <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb5-315"><a href="#cb5-315" aria-hidden="true" tabindex="-1"></a>                                          <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb5-316"><a href="#cb5-316" aria-hidden="true" tabindex="-1"></a>                   fig.families <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb5-317"><a href="#cb5-317" aria-hidden="true" tabindex="-1"></a>                                        <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb5-318"><a href="#cb5-318" aria-hidden="true" tabindex="-1"></a>                   fig.govt_oppo <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb5-319"><a href="#cb5-319" aria-hidden="true" tabindex="-1"></a>                                         <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb5-320"><a href="#cb5-320" aria-hidden="true" tabindex="-1"></a>                   fig.disaster_types <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>() ),</span>
<span id="cb5-321"><a href="#cb5-321" aria-hidden="true" tabindex="-1"></a>                   <span class="at">ncol =</span> <span class="dv">1</span>,</span>
<span id="cb5-322"><a href="#cb5-322" aria-hidden="true" tabindex="-1"></a>                   <span class="at">rel_heights =</span> <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">2</span>, <span class="fl">1.1</span>, <span class="dv">2</span>))  <span class="sc">+</span></span>
<span id="cb5-323"><a href="#cb5-323" aria-hidden="true" tabindex="-1"></a>  <span class="co"># manually add y-title</span></span>
<span id="cb5-324"><a href="#cb5-324" aria-hidden="true" tabindex="-1"></a>  <span class="fu">draw_label</span>(<span class="st">&quot;Change in issue attention to the environment&quot;</span>, </span>
<span id="cb5-325"><a href="#cb5-325" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">12</span>, <span class="at">angle =</span> <span class="dv">90</span>,</span>
<span id="cb5-326"><a href="#cb5-326" aria-hidden="true" tabindex="-1"></a>             <span class="at">x =</span> <span class="dv">0</span>) <span class="sc">+</span></span>
<span id="cb5-327"><a href="#cb5-327" aria-hidden="true" tabindex="-1"></a>  <span class="co"># increase margins so it&#39;s completely visible</span></span>
<span id="cb5-328"><a href="#cb5-328" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(</span>
<span id="cb5-329"><a href="#cb5-329" aria-hidden="true" tabindex="-1"></a>    <span class="at">plot.margin =</span> <span class="fu">margin</span>(<span class="at">t =</span> <span class="dv">0</span>, <span class="at">r =</span> <span class="dv">1</span>, <span class="at">b =</span> <span class="dv">0</span>, <span class="at">l =</span> <span class="dv">1</span>, <span class="st">&quot;cm&quot;</span>)) <span class="ot">-&gt;</span> fig.all</span>
<span id="cb5-330"><a href="#cb5-330" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-331"><a href="#cb5-331" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-332"><a href="#cb5-332" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-333"><a href="#cb5-333" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb5-334"><a href="#cb5-334" aria-hidden="true" tabindex="-1"></a>fig.all </span>
<span id="cb5-335"><a href="#cb5-335" aria-hidden="true" tabindex="-1"></a><span class="fu">ggsave</span>(<span class="fu">here</span>(<span class="st">&quot;results/graphs/fig_ex_data_01.pdf&quot;</span>),</span>
<span id="cb5-336"><a href="#cb5-336" aria-hidden="true" tabindex="-1"></a>       <span class="at">width =</span> <span class="dv">7</span>,</span>
<span id="cb5-337"><a href="#cb5-337" aria-hidden="true" tabindex="-1"></a>       <span class="at">height =</span> <span class="dv">15</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
<section id="climate-dictionary" class="level2">
<h2 class="anchored" data-anchor-id="climate-dictionary">Climate dictionary</h2>
<p>Our main classification scheme might pick up environmental issues that are not directly related to climate action. We therefore created a dictionary following <span class="citation" data-cites="widmann_politicians_2023">(<a href="#ref-widmann_politicians_2023" role="doc-biblioref">Widmann 2024</a>)</span> to look at press releases that specifically mention climate change or climate action, and reran our main analysis with this categorization. The analysis underlying Extended Data Figure 2 in the paper is replicable with <code>scripts/04_robustness_dictionary_climate.R</code>.</p>
<div class="cell">
<details>
<summary>Show code: scripts/04_robustness_dictionary_climate.R</summary>
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES --------------------------------------------------------------------</span></span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a>  PanelMatch,</span>
<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a>  panelView,</span>
<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a>  ggpubr,</span>
<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a>  ggrepel,</span>
<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a>  cowplot,</span>
<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb6-11"><a href="#cb6-11" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb6-12"><a href="#cb6-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a><span class="co"># DATA WRANGLING FOR PANELMATCH ------------------------------------------------</span></span>
<span id="cb6-15"><a href="#cb6-15" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb6-16"><a href="#cb6-16" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb6-17"><a href="#cb6-17" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-18"><a href="#cb6-18" aria-hidden="true" tabindex="-1"></a>    <span class="co"># only integers allowed </span></span>
<span id="cb6-19"><a href="#cb6-19" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> <span class="fu">as.integer</span>(parlgov_id),</span>
<span id="cb6-20"><a href="#cb6-20" aria-hidden="true" tabindex="-1"></a>    <span class="at">t =</span> <span class="fu">as.integer</span>(t),</span>
<span id="cb6-21"><a href="#cb6-21" aria-hidden="true" tabindex="-1"></a>    <span class="at">country =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(country_name)),</span>
<span id="cb6-22"><a href="#cb6-22" aria-hidden="true" tabindex="-1"></a>    <span class="at">family =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(family_name_short))</span>
<span id="cb6-23"><a href="#cb6-23" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-24"><a href="#cb6-24" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb6-25"><a href="#cb6-25" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-26"><a href="#cb6-26" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
<span id="cb6-27"><a href="#cb6-27" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-28"><a href="#cb6-28" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Covs</span></span>
<span id="cb6-29"><a href="#cb6-29" aria-hidden="true" tabindex="-1"></a>    parlgov_id, t, family, country, cabinet_party,</span>
<span id="cb6-30"><a href="#cb6-30" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-31"><a href="#cb6-31" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Treatments</span></span>
<span id="cb6-32"><a href="#cb6-32" aria-hidden="true" tabindex="-1"></a>    treat, treat_flood, treat_storm, treat_fire, treat_temp,</span>
<span id="cb6-33"><a href="#cb6-33" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-34"><a href="#cb6-34" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Outcome</span></span>
<span id="cb6-35"><a href="#cb6-35" aria-hidden="true" tabindex="-1"></a>    climate_prs, pr_total</span>
<span id="cb6-36"><a href="#cb6-36" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-37"><a href="#cb6-37" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb6-38"><a href="#cb6-38" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-39"><a href="#cb6-39" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb6-40"><a href="#cb6-40" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-41"><a href="#cb6-41" aria-hidden="true" tabindex="-1"></a>    <span class="co"># climate</span></span>
<span id="cb6-42"><a href="#cb6-42" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome_climate =</span> climate_prs <span class="sc">/</span> pr_total,</span>
<span id="cb6-43"><a href="#cb6-43" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome_climate =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome_climate), <span class="dv">0</span>, outcome_climate),</span>
<span id="cb6-44"><a href="#cb6-44" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-45"><a href="#cb6-45" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb6-46"><a href="#cb6-46" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-47"><a href="#cb6-47" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb6-48"><a href="#cb6-48" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-49"><a href="#cb6-49" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(parlgov_id)) </span>
<span id="cb6-50"><a href="#cb6-50" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-51"><a href="#cb6-51" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-52"><a href="#cb6-52" aria-hidden="true" tabindex="-1"></a><span class="co"># Globally define leads and lags, iterations</span></span>
<span id="cb6-53"><a href="#cb6-53" aria-hidden="true" tabindex="-1"></a>lag <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb6-54"><a href="#cb6-54" aria-hidden="true" tabindex="-1"></a>lead <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb6-55"><a href="#cb6-55" aria-hidden="true" tabindex="-1"></a>n_iterations <span class="ot">&lt;-</span> <span class="dv">1000</span></span>
<span id="cb6-56"><a href="#cb6-56" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-57"><a href="#cb6-57" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-58"><a href="#cb6-58" aria-hidden="true" tabindex="-1"></a><span class="co"># create empty tibble for data viz</span></span>
<span id="cb6-59"><a href="#cb6-59" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
<span id="cb6-60"><a href="#cb6-60" aria-hidden="true" tabindex="-1"></a>  <span class="at">coef =</span> <span class="fu">numeric</span>(), </span>
<span id="cb6-61"><a href="#cb6-61" aria-hidden="true" tabindex="-1"></a>  <span class="at">se =</span> <span class="fu">numeric</span>(),</span>
<span id="cb6-62"><a href="#cb6-62" aria-hidden="true" tabindex="-1"></a>  <span class="at">model =</span> <span class="fu">numeric</span>()</span>
<span id="cb6-63"><a href="#cb6-63" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb6-64"><a href="#cb6-64" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-65"><a href="#cb6-65" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-66"><a href="#cb6-66" aria-hidden="true" tabindex="-1"></a><span class="co"># LOOPS TO CREATE ONE GRAPH ACROSS ALL MODELS ----------------------------------</span></span>
<span id="cb6-67"><a href="#cb6-67" aria-hidden="true" tabindex="-1"></a>models <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Overall&quot;</span>,</span>
<span id="cb6-68"><a href="#cb6-68" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Green&quot;</span>,</span>
<span id="cb6-69"><a href="#cb6-69" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Left&quot;</span>,</span>
<span id="cb6-70"><a href="#cb6-70" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Right&quot;</span>,</span>
<span id="cb6-71"><a href="#cb6-71" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Opposition&quot;</span>,</span>
<span id="cb6-72"><a href="#cb6-72" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Government&quot;</span>,</span>
<span id="cb6-73"><a href="#cb6-73" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Floods&quot;</span>,</span>
<span id="cb6-74"><a href="#cb6-74" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Storms&quot;</span>,</span>
<span id="cb6-75"><a href="#cb6-75" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Wildfires&quot;</span>,</span>
<span id="cb6-76"><a href="#cb6-76" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Extreme Temp.&quot;</span>)</span>
<span id="cb6-77"><a href="#cb6-77" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-78"><a href="#cb6-78" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (model <span class="cf">in</span> models) {</span>
<span id="cb6-79"><a href="#cb6-79" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>) {</span>
<span id="cb6-80"><a href="#cb6-80" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch</span>
<span id="cb6-81"><a href="#cb6-81" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Green&quot;</span>) {</span>
<span id="cb6-82"><a href="#cb6-82" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">==</span> <span class="dv">5</span>) </span>
<span id="cb6-83"><a href="#cb6-83" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Left&quot;</span>) {</span>
<span id="cb6-84"><a href="#cb6-84" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">%in%</span> <span class="fu">c</span>(<span class="dv">3</span>,<span class="dv">6</span>,<span class="dv">8</span>)) <span class="co"># com, lib, soc</span></span>
<span id="cb6-85"><a href="#cb6-85" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Right&quot;</span>) {</span>
<span id="cb6-86"><a href="#cb6-86" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(family <span class="sc">%in%</span> <span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">2</span>,<span class="dv">4</span>,<span class="dv">7</span>)) <span class="co"># agr, christian, Cons, Radical Right</span></span>
<span id="cb6-87"><a href="#cb6-87" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Opposition&quot;</span>) {</span>
<span id="cb6-88"><a href="#cb6-88" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(cabinet_party <span class="sc">==</span> <span class="dv">0</span>)</span>
<span id="cb6-89"><a href="#cb6-89" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Government&quot;</span>) {</span>
<span id="cb6-90"><a href="#cb6-90" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">filter</span>(cabinet_party <span class="sc">==</span> <span class="dv">1</span>)</span>
<span id="cb6-91"><a href="#cb6-91" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Floods&quot;</span>) {</span>
<span id="cb6-92"><a href="#cb6-92" aria-hidden="true" tabindex="-1"></a>  df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_flood)</span>
<span id="cb6-93"><a href="#cb6-93" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Storms&quot;</span>) {</span>
<span id="cb6-94"><a href="#cb6-94" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_storm)</span>
<span id="cb6-95"><a href="#cb6-95" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Wildfires&quot;</span>) {</span>
<span id="cb6-96"><a href="#cb6-96" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_fire)</span>
<span id="cb6-97"><a href="#cb6-97" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Extreme Temp.&quot;</span>) {</span>
<span id="cb6-98"><a href="#cb6-98" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> <span class="fu">mutate</span>(<span class="at">treat =</span> treat_temp)</span>
<span id="cb6-99"><a href="#cb6-99" aria-hidden="true" tabindex="-1"></a>  } </span>
<span id="cb6-100"><a href="#cb6-100" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-101"><a href="#cb6-101" aria-hidden="true" tabindex="-1"></a>  PM.results <span class="ot">&lt;-</span> <span class="fu">PanelMatch</span>(<span class="at">lag =</span> lag, </span>
<span id="cb6-102"><a href="#cb6-102" aria-hidden="true" tabindex="-1"></a>                           <span class="at">lead =</span> <span class="dv">0</span><span class="sc">:</span>lead, </span>
<span id="cb6-103"><a href="#cb6-103" aria-hidden="true" tabindex="-1"></a>                           <span class="at">data =</span> df.tmp,</span>
<span id="cb6-104"><a href="#cb6-104" aria-hidden="true" tabindex="-1"></a>                           <span class="at">time.id =</span> <span class="st">&quot;t&quot;</span>, </span>
<span id="cb6-105"><a href="#cb6-105" aria-hidden="true" tabindex="-1"></a>                           <span class="at">unit.id =</span> <span class="st">&quot;parlgov_id&quot;</span>,</span>
<span id="cb6-106"><a href="#cb6-106" aria-hidden="true" tabindex="-1"></a>                           <span class="at">treatment =</span> <span class="st">&quot;treat&quot;</span>, </span>
<span id="cb6-107"><a href="#cb6-107" aria-hidden="true" tabindex="-1"></a>                           <span class="at">outcome.var =</span> <span class="st">&quot;outcome_climate&quot;</span>,</span>
<span id="cb6-108"><a href="#cb6-108" aria-hidden="true" tabindex="-1"></a>                           <span class="at">match.missing =</span> <span class="cn">TRUE</span>,</span>
<span id="cb6-109"><a href="#cb6-109" aria-hidden="true" tabindex="-1"></a>                           <span class="at">refinement.method =</span> <span class="st">&quot;mahalanobis&quot;</span>,</span>
<span id="cb6-110"><a href="#cb6-110" aria-hidden="true" tabindex="-1"></a>                           <span class="at">covs.formula =</span> <span class="sc">~</span> <span class="fu">I</span>(<span class="fu">lag</span>(outcome_climate, <span class="dv">1</span><span class="sc">:</span>lead)),</span>
<span id="cb6-111"><a href="#cb6-111" aria-hidden="true" tabindex="-1"></a>                           <span class="at">exact.match.variables =</span> <span class="st">&quot;family&quot;</span>,</span>
<span id="cb6-112"><a href="#cb6-112" aria-hidden="true" tabindex="-1"></a>                           <span class="at">size.match =</span> <span class="dv">10</span>, </span>
<span id="cb6-113"><a href="#cb6-113" aria-hidden="true" tabindex="-1"></a>                           <span class="at">qoi =</span> <span class="st">&quot;att&quot;</span>,</span>
<span id="cb6-114"><a href="#cb6-114" aria-hidden="true" tabindex="-1"></a>                           <span class="at">forbid.treatment.reversal =</span> <span class="cn">FALSE</span>)</span>
<span id="cb6-115"><a href="#cb6-115" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-116"><a href="#cb6-116" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-117"><a href="#cb6-117" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Treatment</span></span>
<span id="cb6-118"><a href="#cb6-118" aria-hidden="true" tabindex="-1"></a>  PE.treat <span class="ot">&lt;-</span> <span class="fu">PanelEstimate</span>(<span class="at">sets =</span> PM.results, </span>
<span id="cb6-119"><a href="#cb6-119" aria-hidden="true" tabindex="-1"></a>                            <span class="at">data =</span> df.tmp,</span>
<span id="cb6-120"><a href="#cb6-120" aria-hidden="true" tabindex="-1"></a>                            <span class="at">se.method =</span> <span class="st">&quot;bootstrap&quot;</span>,</span>
<span id="cb6-121"><a href="#cb6-121" aria-hidden="true" tabindex="-1"></a>                            <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb6-122"><a href="#cb6-122" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-123"><a href="#cb6-123" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Store Coefs and SEs</span></span>
<span id="cb6-124"><a href="#cb6-124" aria-hidden="true" tabindex="-1"></a>  gg.treat <span class="ot">&lt;-</span> <span class="fu">summary</span>(PE.treat, </span>
<span id="cb6-125"><a href="#cb6-125" aria-hidden="true" tabindex="-1"></a>                      <span class="at">verbose =</span> F, </span>
<span id="cb6-126"><a href="#cb6-126" aria-hidden="true" tabindex="-1"></a>                      <span class="at">bias.corrected =</span> F) <span class="sc">|&gt;</span> </span>
<span id="cb6-127"><a href="#cb6-127" aria-hidden="true" tabindex="-1"></a>    <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb6-128"><a href="#cb6-128" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model,</span>
<span id="cb6-129"><a href="#cb6-129" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb6-130"><a href="#cb6-130" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">low_ci =</span> <span class="st">`</span><span class="at">2.5%</span><span class="st">`</span>,</span>
<span id="cb6-131"><a href="#cb6-131" aria-hidden="true" tabindex="-1"></a>           <span class="at">up_ci =</span> <span class="st">`</span><span class="at">97.5%</span><span class="st">`</span>) <span class="sc">|&gt;</span> </span>
<span id="cb6-132"><a href="#cb6-132" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(<span class="sc">-</span>std.error)</span>
<span id="cb6-133"><a href="#cb6-133" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-134"><a href="#cb6-134" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Placebo</span></span>
<span id="cb6-135"><a href="#cb6-135" aria-hidden="true" tabindex="-1"></a>  PE.placebo <span class="ot">&lt;-</span> <span class="fu">placebo_test</span>(PM.results, </span>
<span id="cb6-136"><a href="#cb6-136" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.tmp, </span>
<span id="cb6-137"><a href="#cb6-137" aria-hidden="true" tabindex="-1"></a>                             <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb6-138"><a href="#cb6-138" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-139"><a href="#cb6-139" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo estimates  </span></span>
<span id="cb6-140"><a href="#cb6-140" aria-hidden="true" tabindex="-1"></a>  placebo_estimates <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb6-141"><a href="#cb6-141" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> (lead <span class="sc">+</span> <span class="dv">1</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb6-142"><a href="#cb6-142" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">estimate =</span> value) </span>
<span id="cb6-143"><a href="#cb6-143" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-144"><a href="#cb6-144" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-145"><a href="#cb6-145" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo CIs, percentiles from bootstrapping</span></span>
<span id="cb6-146"><a href="#cb6-146" aria-hidden="true" tabindex="-1"></a>  percentiles <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>bootstrapped.estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb6-147"><a href="#cb6-147" aria-hidden="true" tabindex="-1"></a>    <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="fu">everything</span>(), <span class="sc">~</span> <span class="fu">quantile</span>(., <span class="at">probs =</span> <span class="fu">c</span>(<span class="fl">0.025</span>, <span class="fl">0.975</span>)))) </span>
<span id="cb6-148"><a href="#cb6-148" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-149"><a href="#cb6-149" aria-hidden="true" tabindex="-1"></a>  percentiles_longer <span class="ot">&lt;-</span> percentiles <span class="sc">|&gt;</span> </span>
<span id="cb6-150"><a href="#cb6-150" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">quantile =</span> <span class="fu">row_number</span>(),</span>
<span id="cb6-151"><a href="#cb6-151" aria-hidden="true" tabindex="-1"></a>           <span class="at">quantile =</span> <span class="fu">case_when</span>(quantile <span class="sc">==</span> <span class="dv">1</span> <span class="sc">~</span> <span class="st">&quot;low_ci&quot;</span>,</span>
<span id="cb6-152"><a href="#cb6-152" aria-hidden="true" tabindex="-1"></a>                                quantile <span class="sc">==</span> <span class="dv">2</span> <span class="sc">~</span> <span class="st">&quot;up_ci&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb6-153"><a href="#cb6-153" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_longer</span>(<span class="at">cols =</span> <span class="fu">starts_with</span>(<span class="st">&quot;t-&quot;</span>), <span class="at">names_to =</span> <span class="st">&quot;period&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">%&gt;%</span></span>
<span id="cb6-154"><a href="#cb6-154" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">&quot;quantile&quot;</span>, <span class="at">values_from =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb6-155"><a href="#cb6-155" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">substr</span>(period,<span class="dv">2</span>,<span class="dv">3</span>),</span>
<span id="cb6-156"><a href="#cb6-156" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">as.numeric</span>(period))</span>
<span id="cb6-157"><a href="#cb6-157" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-158"><a href="#cb6-158" aria-hidden="true" tabindex="-1"></a>  <span class="co"># join placebo estimates and placebo CIs</span></span>
<span id="cb6-159"><a href="#cb6-159" aria-hidden="true" tabindex="-1"></a>  gg.placebo <span class="ot">&lt;-</span> <span class="fu">left_join</span>(placebo_estimates, percentiles_longer,</span>
<span id="cb6-160"><a href="#cb6-160" aria-hidden="true" tabindex="-1"></a>                          <span class="at">by =</span> <span class="st">&quot;period&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb6-161"><a href="#cb6-161" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model)</span>
<span id="cb6-162"><a href="#cb6-162" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-163"><a href="#cb6-163" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bind placebo to treatment</span></span>
<span id="cb6-164"><a href="#cb6-164" aria-hidden="true" tabindex="-1"></a>  gg.tmp <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.placebo, gg.treat)</span>
<span id="cb6-165"><a href="#cb6-165" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-166"><a href="#cb6-166" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Add to main viz DF</span></span>
<span id="cb6-167"><a href="#cb6-167" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.did, gg.tmp)</span>
<span id="cb6-168"><a href="#cb6-168" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-169"><a href="#cb6-169" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb6-170"><a href="#cb6-170" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-171"><a href="#cb6-171" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-172"><a href="#cb6-172" aria-hidden="true" tabindex="-1"></a><span class="co"># PLOTS ------------------------------------------------------------------------</span></span>
<span id="cb6-173"><a href="#cb6-173" aria-hidden="true" tabindex="-1"></a><span class="co"># globally define settings</span></span>
<span id="cb6-174"><a href="#cb6-174" aria-hidden="true" tabindex="-1"></a>pre_color <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb6-175"><a href="#cb6-175" aria-hidden="true" tabindex="-1"></a>post_color <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb6-176"><a href="#cb6-176" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-177"><a href="#cb6-177" aria-hidden="true" tabindex="-1"></a>pre_fill <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb6-178"><a href="#cb6-178" aria-hidden="true" tabindex="-1"></a>post_fill <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb6-179"><a href="#cb6-179" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-180"><a href="#cb6-180" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-181"><a href="#cb6-181" aria-hidden="true" tabindex="-1"></a>pre_shape <span class="ot">&lt;-</span> <span class="dv">17</span></span>
<span id="cb6-182"><a href="#cb6-182" aria-hidden="true" tabindex="-1"></a>post_shape <span class="ot">&lt;-</span> <span class="dv">16</span></span>
<span id="cb6-183"><a href="#cb6-183" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-184"><a href="#cb6-184" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb6-185"><a href="#cb6-185" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb6-186"><a href="#cb6-186" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">pre =</span> <span class="fu">ifelse</span>(period <span class="sc">&lt;</span> <span class="dv">0</span>, <span class="st">&quot;pre&quot;</span>, <span class="st">&quot;post&quot;</span>))</span>
<span id="cb6-187"><a href="#cb6-187" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-188"><a href="#cb6-188" aria-hidden="true" tabindex="-1"></a><span class="co"># reorder</span></span>
<span id="cb6-189"><a href="#cb6-189" aria-hidden="true" tabindex="-1"></a>gg.did<span class="sc">$</span>model <span class="ot">&lt;-</span> <span class="fu">factor</span>(gg.did<span class="sc">$</span>model, <span class="at">levels =</span> models) </span>
<span id="cb6-190"><a href="#cb6-190" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-191"><a href="#cb6-191" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-192"><a href="#cb6-192" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-193"><a href="#cb6-193" aria-hidden="true" tabindex="-1"></a><span class="co"># Store it so don&#39;t have to bootstrap every time anew</span></span>
<span id="cb6-194"><a href="#cb6-194" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(gg.did,</span>
<span id="cb6-195"><a href="#cb6-195" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/ggdid_dic.csv&quot;</span>))</span>
<span id="cb6-196"><a href="#cb6-196" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-197"><a href="#cb6-197" aria-hidden="true" tabindex="-1"></a><span class="co"># pick back up</span></span>
<span id="cb6-198"><a href="#cb6-198" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/ggdid_dic.csv&quot;</span>))</span>
<span id="cb6-199"><a href="#cb6-199" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-200"><a href="#cb6-200" aria-hidden="true" tabindex="-1"></a><span class="co"># data wrangling for plot</span></span>
<span id="cb6-201"><a href="#cb6-201" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb6-202"><a href="#cb6-202" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb6-203"><a href="#cb6-203" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-204"><a href="#cb6-204" aria-hidden="true" tabindex="-1"></a>    <span class="co"># make it percentage points</span></span>
<span id="cb6-205"><a href="#cb6-205" aria-hidden="true" tabindex="-1"></a>    <span class="at">estimate =</span> estimate <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb6-206"><a href="#cb6-206" aria-hidden="true" tabindex="-1"></a>    <span class="at">low_ci =</span> low_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb6-207"><a href="#cb6-207" aria-hidden="true" tabindex="-1"></a>    <span class="at">up_ci =</span> up_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb6-208"><a href="#cb6-208" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-209"><a href="#cb6-209" aria-hidden="true" tabindex="-1"></a>    <span class="co"># add label for ggplot</span></span>
<span id="cb6-210"><a href="#cb6-210" aria-hidden="true" tabindex="-1"></a>    <span class="at">lab_text =</span> <span class="fu">case_when</span>(</span>
<span id="cb6-211"><a href="#cb6-211" aria-hidden="true" tabindex="-1"></a>      model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span> <span class="sc">&amp;</span> period <span class="sc">==</span> <span class="dv">0</span> <span class="sc">~</span> </span>
<span id="cb6-212"><a href="#cb6-212" aria-hidden="true" tabindex="-1"></a>        <span class="st">&quot;No increase in attention</span><span class="sc">\n</span><span class="st"> towards climate after</span><span class="sc">\n</span><span class="st"> extreme weather events&quot;</span></span>
<span id="cb6-213"><a href="#cb6-213" aria-hidden="true" tabindex="-1"></a>      )</span>
<span id="cb6-214"><a href="#cb6-214" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb6-215"><a href="#cb6-215" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-216"><a href="#cb6-216" aria-hidden="true" tabindex="-1"></a><span class="co"># Store different model types for graphs</span></span>
<span id="cb6-217"><a href="#cb6-217" aria-hidden="true" tabindex="-1"></a><span class="do">## Models</span></span>
<span id="cb6-218"><a href="#cb6-218" aria-hidden="true" tabindex="-1"></a>overall <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Overall&quot;</span>)</span>
<span id="cb6-219"><a href="#cb6-219" aria-hidden="true" tabindex="-1"></a>families <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Green&quot;</span>, <span class="st">&quot;Left&quot;</span>, <span class="st">&quot;Right&quot;</span>)</span>
<span id="cb6-220"><a href="#cb6-220" aria-hidden="true" tabindex="-1"></a>govt_oppo <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Opposition&quot;</span>,<span class="st">&quot;Government&quot;</span>)</span>
<span id="cb6-221"><a href="#cb6-221" aria-hidden="true" tabindex="-1"></a>disaster_types <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Floods&quot;</span>, <span class="st">&quot;Storms&quot;</span>, <span class="st">&quot;Wildfires&quot;</span>, <span class="st">&quot;Extreme Temp.&quot;</span>)</span>
<span id="cb6-222"><a href="#cb6-222" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-223"><a href="#cb6-223" aria-hidden="true" tabindex="-1"></a>figmodels <span class="ot">&lt;-</span> <span class="fu">list</span>(overall, families, govt_oppo, disaster_types)</span>
<span id="cb6-224"><a href="#cb6-224" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-225"><a href="#cb6-225" aria-hidden="true" tabindex="-1"></a><span class="do">## names for plots</span></span>
<span id="cb6-226"><a href="#cb6-226" aria-hidden="true" tabindex="-1"></a>gg.names <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;overall&quot;</span>, <span class="st">&quot;families&quot;</span>, <span class="st">&quot;govt_oppo&quot;</span>, <span class="st">&quot;disaster_types&quot;</span>)</span>
<span id="cb6-227"><a href="#cb6-227" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-228"><a href="#cb6-228" aria-hidden="true" tabindex="-1"></a><span class="do">## titles within plots</span></span>
<span id="cb6-229"><a href="#cb6-229" aria-hidden="true" tabindex="-1"></a>gg.titles <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;&quot;</span>, <span class="st">&quot;Party Families&quot;</span>, <span class="st">&quot;Government Control&quot;</span>, <span class="st">&quot;Event Type&quot;</span>)</span>
<span id="cb6-230"><a href="#cb6-230" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-231"><a href="#cb6-231" aria-hidden="true" tabindex="-1"></a><span class="co"># Loop all plots</span></span>
<span id="cb6-232"><a href="#cb6-232" aria-hidden="true" tabindex="-1"></a>i <span class="ot">&lt;-</span> <span class="dv">1</span></span>
<span id="cb6-233"><a href="#cb6-233" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (figmodel <span class="cf">in</span> figmodels){</span>
<span id="cb6-234"><a href="#cb6-234" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="sc">|&gt;</span> </span>
<span id="cb6-235"><a href="#cb6-235" aria-hidden="true" tabindex="-1"></a>    <span class="fu">filter</span>(model <span class="sc">%in%</span> figmodel) <span class="sc">|&gt;</span> </span>
<span id="cb6-236"><a href="#cb6-236" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb6-237"><a href="#cb6-237" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-238"><a href="#cb6-238" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Gray pre treatment shade</span></span>
<span id="cb6-239"><a href="#cb6-239" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb6-240"><a href="#cb6-240" aria-hidden="true" tabindex="-1"></a>              <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb6-241"><a href="#cb6-241" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-242"><a href="#cb6-242" aria-hidden="true" tabindex="-1"></a>    <span class="co"># CIs</span></span>
<span id="cb6-243"><a href="#cb6-243" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb6-244"><a href="#cb6-244" aria-hidden="true" tabindex="-1"></a>                   <span class="at">alpha =</span> .<span class="dv">7</span>,</span>
<span id="cb6-245"><a href="#cb6-245" aria-hidden="true" tabindex="-1"></a>                   <span class="at">linewidth =</span> <span class="fl">0.75</span>) <span class="sc">+</span> </span>
<span id="cb6-246"><a href="#cb6-246" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-247"><a href="#cb6-247" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Coef</span></span>
<span id="cb6-248"><a href="#cb6-248" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb6-249"><a href="#cb6-249" aria-hidden="true" tabindex="-1"></a>               <span class="at">size =</span> <span class="dv">3</span>) <span class="sc">+</span> </span>
<span id="cb6-250"><a href="#cb6-250" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-251"><a href="#cb6-251" aria-hidden="true" tabindex="-1"></a>    <span class="co"># fixed lines</span></span>
<span id="cb6-252"><a href="#cb6-252" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb6-253"><a href="#cb6-253" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-254"><a href="#cb6-254" aria-hidden="true" tabindex="-1"></a>    <span class="co"># look</span></span>
<span id="cb6-255"><a href="#cb6-255" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ylab</span>(<span class="st">&quot;Percentage change in attention&quot;</span>) <span class="sc">+</span></span>
<span id="cb6-256"><a href="#cb6-256" aria-hidden="true" tabindex="-1"></a>    <span class="fu">xlab</span>(<span class="st">&quot;Weeks relative to extreme weather event&quot;</span>) <span class="sc">+</span> </span>
<span id="cb6-257"><a href="#cb6-257" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb6-258"><a href="#cb6-258" aria-hidden="true" tabindex="-1"></a>    <span class="fu">facet_wrap</span>(<span class="sc">~</span> model, </span>
<span id="cb6-259"><a href="#cb6-259" aria-hidden="true" tabindex="-1"></a>               <span class="at">scales =</span> <span class="st">&quot;free&quot;</span>, </span>
<span id="cb6-260"><a href="#cb6-260" aria-hidden="true" tabindex="-1"></a>               <span class="at">ncol =</span> <span class="dv">2</span>) <span class="sc">+</span></span>
<span id="cb6-261"><a href="#cb6-261" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb6-262"><a href="#cb6-262" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb6-263"><a href="#cb6-263" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb6-264"><a href="#cb6-264" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb6-265"><a href="#cb6-265" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb6-266"><a href="#cb6-266" aria-hidden="true" tabindex="-1"></a>                                 <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb6-267"><a href="#cb6-267" aria-hidden="true" tabindex="-1"></a>    <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb6-268"><a href="#cb6-268" aria-hidden="true" tabindex="-1"></a>           <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb6-269"><a href="#cb6-269" aria-hidden="true" tabindex="-1"></a>           <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb6-270"><a href="#cb6-270" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-271"><a href="#cb6-271" aria-hidden="true" tabindex="-1"></a>    <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb6-272"><a href="#cb6-272" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb6-273"><a href="#cb6-273" aria-hidden="true" tabindex="-1"></a>    <span class="co"># theme</span></span>
<span id="cb6-274"><a href="#cb6-274" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb6-275"><a href="#cb6-275" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb6-276"><a href="#cb6-276" aria-hidden="true" tabindex="-1"></a>          <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="sc">+</span></span>
<span id="cb6-277"><a href="#cb6-277" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggtitle</span>(gg.titles[i]) <span class="ot">-&gt;</span>  gg.tmp</span>
<span id="cb6-278"><a href="#cb6-278" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-279"><a href="#cb6-279" aria-hidden="true" tabindex="-1"></a>  <span class="fu">assign</span>(<span class="fu">paste0</span>(<span class="st">&quot;fig.&quot;</span>, gg.names[i]), gg.tmp)</span>
<span id="cb6-280"><a href="#cb6-280" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-281"><a href="#cb6-281" aria-hidden="true" tabindex="-1"></a>  i <span class="ot">&lt;-</span> i <span class="sc">+</span> <span class="dv">1</span></span>
<span id="cb6-282"><a href="#cb6-282" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb6-283"><a href="#cb6-283" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-284"><a href="#cb6-284" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-285"><a href="#cb6-285" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-286"><a href="#cb6-286" aria-hidden="true" tabindex="-1"></a><span class="co"># Annotate Overall graph individually</span></span>
<span id="cb6-287"><a href="#cb6-287" aria-hidden="true" tabindex="-1"></a>gg.did <span class="sc">|&gt;</span> </span>
<span id="cb6-288"><a href="#cb6-288" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(model <span class="sc">%in%</span> overall) <span class="sc">|&gt;</span> </span>
<span id="cb6-289"><a href="#cb6-289" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb6-290"><a href="#cb6-290" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-291"><a href="#cb6-291" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Gray pre treatment shade</span></span>
<span id="cb6-292"><a href="#cb6-292" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb6-293"><a href="#cb6-293" aria-hidden="true" tabindex="-1"></a>            <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb6-294"><a href="#cb6-294" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-295"><a href="#cb6-295" aria-hidden="true" tabindex="-1"></a>  <span class="co"># CIs</span></span>
<span id="cb6-296"><a href="#cb6-296" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb6-297"><a href="#cb6-297" aria-hidden="true" tabindex="-1"></a>                 <span class="at">linewidth =</span> <span class="fl">1.15</span>) <span class="sc">+</span> </span>
<span id="cb6-298"><a href="#cb6-298" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-299"><a href="#cb6-299" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Coef</span></span>
<span id="cb6-300"><a href="#cb6-300" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb6-301"><a href="#cb6-301" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">5</span>) <span class="sc">+</span> </span>
<span id="cb6-302"><a href="#cb6-302" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-303"><a href="#cb6-303" aria-hidden="true" tabindex="-1"></a>  <span class="co"># fixed lines</span></span>
<span id="cb6-304"><a href="#cb6-304" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb6-305"><a href="#cb6-305" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-306"><a href="#cb6-306" aria-hidden="true" tabindex="-1"></a>  <span class="co"># look</span></span>
<span id="cb6-307"><a href="#cb6-307" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ylab</span>(<span class="st">&quot; &quot;</span>) <span class="sc">+</span></span>
<span id="cb6-308"><a href="#cb6-308" aria-hidden="true" tabindex="-1"></a>  <span class="fu">xlab</span>(<span class="st">&quot; &quot;</span>) <span class="sc">+</span> </span>
<span id="cb6-309"><a href="#cb6-309" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb6-310"><a href="#cb6-310" aria-hidden="true" tabindex="-1"></a>  <span class="fu">facet_wrap</span>(<span class="sc">~</span> model) <span class="sc">+</span></span>
<span id="cb6-311"><a href="#cb6-311" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb6-312"><a href="#cb6-312" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb6-313"><a href="#cb6-313" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb6-314"><a href="#cb6-314" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb6-315"><a href="#cb6-315" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb6-316"><a href="#cb6-316" aria-hidden="true" tabindex="-1"></a>                               <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb6-317"><a href="#cb6-317" aria-hidden="true" tabindex="-1"></a>  <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb6-318"><a href="#cb6-318" aria-hidden="true" tabindex="-1"></a>         <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb6-319"><a href="#cb6-319" aria-hidden="true" tabindex="-1"></a>         <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb6-320"><a href="#cb6-320" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-321"><a href="#cb6-321" aria-hidden="true" tabindex="-1"></a>  <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb6-322"><a href="#cb6-322" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-323"><a href="#cb6-323" aria-hidden="true" tabindex="-1"></a>  <span class="co"># theme</span></span>
<span id="cb6-324"><a href="#cb6-324" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb6-325"><a href="#cb6-325" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb6-326"><a href="#cb6-326" aria-hidden="true" tabindex="-1"></a>        <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="ot">-&gt;</span>  fig.overall</span>
<span id="cb6-327"><a href="#cb6-327" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-328"><a href="#cb6-328" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-329"><a href="#cb6-329" aria-hidden="true" tabindex="-1"></a><span class="co"># Annotation for first graph</span></span>
<span id="cb6-330"><a href="#cb6-330" aria-hidden="true" tabindex="-1"></a>fig.overall_an <span class="ot">&lt;-</span> fig.overall <span class="sc">+</span> </span>
<span id="cb6-331"><a href="#cb6-331" aria-hidden="true" tabindex="-1"></a>  <span class="co">#  Annotation</span></span>
<span id="cb6-332"><a href="#cb6-332" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_curve</span>(</span>
<span id="cb6-333"><a href="#cb6-333" aria-hidden="true" tabindex="-1"></a>    <span class="at">data =</span> gg.did <span class="sc">|&gt;</span> <span class="fu">filter</span>(model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>, period <span class="sc">==</span> <span class="dv">0</span>),</span>
<span id="cb6-334"><a href="#cb6-334" aria-hidden="true" tabindex="-1"></a>    <span class="fu">aes</span>(</span>
<span id="cb6-335"><a href="#cb6-335" aria-hidden="true" tabindex="-1"></a>      <span class="at">x =</span> <span class="fl">0.95</span>,</span>
<span id="cb6-336"><a href="#cb6-336" aria-hidden="true" tabindex="-1"></a>      <span class="at">xend =</span> period <span class="sc">+</span> <span class="fl">0.15</span>, <span class="co"># nudge</span></span>
<span id="cb6-337"><a href="#cb6-337" aria-hidden="true" tabindex="-1"></a>      <span class="at">y =</span> <span class="fl">2.25</span>, <span class="co"># nudge,</span></span>
<span id="cb6-338"><a href="#cb6-338" aria-hidden="true" tabindex="-1"></a>      <span class="at">yend =</span> <span class="dv">0</span> <span class="sc">+</span> <span class="fl">0.5</span> <span class="co"># nudge</span></span>
<span id="cb6-339"><a href="#cb6-339" aria-hidden="true" tabindex="-1"></a>    ),</span>
<span id="cb6-340"><a href="#cb6-340" aria-hidden="true" tabindex="-1"></a>    <span class="at">color =</span> <span class="st">&quot;gray&quot;</span>,</span>
<span id="cb6-341"><a href="#cb6-341" aria-hidden="true" tabindex="-1"></a>    <span class="at">alpha =</span> <span class="dv">1</span>,</span>
<span id="cb6-342"><a href="#cb6-342" aria-hidden="true" tabindex="-1"></a>    <span class="at">curvature =</span> <span class="fl">0.1</span>,</span>
<span id="cb6-343"><a href="#cb6-343" aria-hidden="true" tabindex="-1"></a>    <span class="at">size =</span> <span class="fl">0.75</span>,</span>
<span id="cb6-344"><a href="#cb6-344" aria-hidden="true" tabindex="-1"></a>    <span class="at">arrow =</span> <span class="fu">arrow</span>(</span>
<span id="cb6-345"><a href="#cb6-345" aria-hidden="true" tabindex="-1"></a>      <span class="at">length =</span> <span class="fu">unit</span>(<span class="fl">0.025</span>, <span class="st">&quot;npc&quot;</span>)</span>
<span id="cb6-346"><a href="#cb6-346" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb6-347"><a href="#cb6-347" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">+</span></span>
<span id="cb6-348"><a href="#cb6-348" aria-hidden="true" tabindex="-1"></a>  <span class="co"># for each annotation, add a label</span></span>
<span id="cb6-349"><a href="#cb6-349" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_text</span>(</span>
<span id="cb6-350"><a href="#cb6-350" aria-hidden="true" tabindex="-1"></a>    <span class="at">data =</span> gg.did <span class="sc">|&gt;</span> <span class="fu">filter</span>(model <span class="sc">==</span> <span class="st">&quot;Overall&quot;</span>, period <span class="sc">==</span> <span class="dv">0</span>),</span>
<span id="cb6-351"><a href="#cb6-351" aria-hidden="true" tabindex="-1"></a>    <span class="fu">aes</span>(</span>
<span id="cb6-352"><a href="#cb6-352" aria-hidden="true" tabindex="-1"></a>      <span class="at">x =</span> <span class="fl">1.5</span>,</span>
<span id="cb6-353"><a href="#cb6-353" aria-hidden="true" tabindex="-1"></a>      <span class="at">y =</span> <span class="fl">3.5</span>,</span>
<span id="cb6-354"><a href="#cb6-354" aria-hidden="true" tabindex="-1"></a>      <span class="at">label =</span> lab_text,</span>
<span id="cb6-355"><a href="#cb6-355" aria-hidden="true" tabindex="-1"></a>      <span class="at">color =</span> <span class="st">&quot;gray&quot;</span>,</span>
<span id="cb6-356"><a href="#cb6-356" aria-hidden="true" tabindex="-1"></a>      <span class="at">hjust =</span> <span class="fl">0.5</span>,</span>
<span id="cb6-357"><a href="#cb6-357" aria-hidden="true" tabindex="-1"></a>      <span class="at">vjust =</span> <span class="dv">1</span></span>
<span id="cb6-358"><a href="#cb6-358" aria-hidden="true" tabindex="-1"></a>    )) </span>
<span id="cb6-359"><a href="#cb6-359" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb6-360"><a href="#cb6-360" aria-hidden="true" tabindex="-1"></a>fig.overall_an</span>
<span id="cb6-361"><a href="#cb6-361" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-362"><a href="#cb6-362" aria-hidden="true" tabindex="-1"></a><span class="co"># bring all together, keep only one x-title</span></span>
<span id="cb6-363"><a href="#cb6-363" aria-hidden="true" tabindex="-1"></a>cowplot<span class="sc">::</span><span class="fu">plot_grid</span>(fig.overall_an <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb6-364"><a href="#cb6-364" aria-hidden="true" tabindex="-1"></a>                                          <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb6-365"><a href="#cb6-365" aria-hidden="true" tabindex="-1"></a>                   fig.families <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb6-366"><a href="#cb6-366" aria-hidden="true" tabindex="-1"></a>                                        <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb6-367"><a href="#cb6-367" aria-hidden="true" tabindex="-1"></a>                   fig.govt_oppo <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb6-368"><a href="#cb6-368" aria-hidden="true" tabindex="-1"></a>                                         <span class="at">axis.title.x =</span> <span class="fu">element_blank</span>()),</span>
<span id="cb6-369"><a href="#cb6-369" aria-hidden="true" tabindex="-1"></a>                   fig.disaster_types <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>() ),</span>
<span id="cb6-370"><a href="#cb6-370" aria-hidden="true" tabindex="-1"></a>                   <span class="at">ncol =</span> <span class="dv">1</span>,</span>
<span id="cb6-371"><a href="#cb6-371" aria-hidden="true" tabindex="-1"></a>                   <span class="at">rel_heights =</span> <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">2</span>, <span class="fl">1.1</span>, <span class="dv">2</span>))  <span class="sc">+</span></span>
<span id="cb6-372"><a href="#cb6-372" aria-hidden="true" tabindex="-1"></a>  <span class="co"># manually add y-title</span></span>
<span id="cb6-373"><a href="#cb6-373" aria-hidden="true" tabindex="-1"></a>  <span class="fu">draw_label</span>(<span class="st">&quot;Change in issue attention to climate&quot;</span>, </span>
<span id="cb6-374"><a href="#cb6-374" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">12</span>, <span class="at">angle =</span> <span class="dv">90</span>,</span>
<span id="cb6-375"><a href="#cb6-375" aria-hidden="true" tabindex="-1"></a>             <span class="at">x =</span> <span class="dv">0</span>) <span class="sc">+</span></span>
<span id="cb6-376"><a href="#cb6-376" aria-hidden="true" tabindex="-1"></a>  <span class="co"># increase margins so it&#39;s completely visible</span></span>
<span id="cb6-377"><a href="#cb6-377" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(</span>
<span id="cb6-378"><a href="#cb6-378" aria-hidden="true" tabindex="-1"></a>    <span class="at">plot.margin =</span> <span class="fu">margin</span>(<span class="at">t =</span> <span class="dv">0</span>, <span class="at">r =</span> <span class="dv">1</span>, <span class="at">b =</span> <span class="dv">0</span>, <span class="at">l =</span> <span class="dv">1</span>, <span class="st">&quot;cm&quot;</span>)) <span class="ot">-&gt;</span> fig.all</span>
<span id="cb6-379"><a href="#cb6-379" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-380"><a href="#cb6-380" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-381"><a href="#cb6-381" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb6-382"><a href="#cb6-382" aria-hidden="true" tabindex="-1"></a>fig.all </span>
<span id="cb6-383"><a href="#cb6-383" aria-hidden="true" tabindex="-1"></a><span class="fu">ggsave</span>(<span class="fu">here</span>(<span class="st">&quot;results/graphs/fig_ex_data_02.pdf&quot;</span>),</span>
<span id="cb6-384"><a href="#cb6-384" aria-hidden="true" tabindex="-1"></a>       <span class="at">width =</span> <span class="dv">7</span>,</span>
<span id="cb6-385"><a href="#cb6-385" aria-hidden="true" tabindex="-1"></a>       <span class="at">height =</span> <span class="dv">15</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
<section id="spillover-effects" class="level2">
<h2 class="anchored" data-anchor-id="spillover-effects">Spillover effects</h2>
<p>We furthermore rule out that our null results are driven by spillover effects. The analysis underlying Extended Data Figure 3 in the paper is replicable with <code>scripts/04_robustness_spillover.R</code>.</p>
<div class="cell">
<details>
<summary>Show code: scripts/04_robustness_spillover.R</summary>
<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES --------------------------------------------------------------------</span></span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a>  fixest,</span>
<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a>  broom,</span>
<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb7-8"><a href="#cb7-8" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb7-9"><a href="#cb7-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-10"><a href="#cb7-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-11"><a href="#cb7-11" aria-hidden="true" tabindex="-1"></a><span class="co"># DATA WRANGLING --------------------------------------------------------------</span></span>
<span id="cb7-12"><a href="#cb7-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-13"><a href="#cb7-13" aria-hidden="true" tabindex="-1"></a><span class="co"># check for doubles (multiple events wihtin 6 weeks)</span></span>
<span id="cb7-14"><a href="#cb7-14" aria-hidden="true" tabindex="-1"></a>doubles <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb7-15"><a href="#cb7-15" aria-hidden="true" tabindex="-1"></a>  <span class="co"># event on country level</span></span>
<span id="cb7-16"><a href="#cb7-16" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country_name, t) <span class="sc">|&gt;</span> </span>
<span id="cb7-17"><a href="#cb7-17" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">treat =</span> <span class="fu">mean</span>(treat, <span class="at">na.rm =</span>T)) <span class="sc">|&gt;</span> </span>
<span id="cb7-18"><a href="#cb7-18" aria-hidden="true" tabindex="-1"></a>  <span class="co"># only keep treated weeks</span></span>
<span id="cb7-19"><a href="#cb7-19" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(treat <span class="sc">==</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb7-20"><a href="#cb7-20" aria-hidden="true" tabindex="-1"></a>  <span class="co"># create indicator for difference between last and next treated time point</span></span>
<span id="cb7-21"><a href="#cb7-21" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">lagged_double =</span> t <span class="sc">-</span> <span class="fu">lag</span>(t, <span class="at">default =</span> <span class="dv">100</span>),</span>
<span id="cb7-22"><a href="#cb7-22" aria-hidden="true" tabindex="-1"></a>         <span class="at">lead_double =</span> <span class="fu">lead</span>(t, <span class="at">default =</span> <span class="dv">100</span>) <span class="sc">-</span> t) <span class="sc">|&gt;</span> </span>
<span id="cb7-23"><a href="#cb7-23" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ungroup</span>() <span class="sc">|&gt;</span> </span>
<span id="cb7-24"><a href="#cb7-24" aria-hidden="true" tabindex="-1"></a>  <span class="co"># only keep doubles</span></span>
<span id="cb7-25"><a href="#cb7-25" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(lagged_double <span class="sc">&lt;=</span> <span class="dv">6</span> <span class="sc">&amp;</span> lagged_double <span class="sc">&gt;</span> <span class="dv">0</span>,</span>
<span id="cb7-26"><a href="#cb7-26" aria-hidden="true" tabindex="-1"></a>         lead_double <span class="sc">&lt;=</span> <span class="dv">6</span> <span class="sc">&amp;</span> lead_double <span class="sc">&gt;</span> <span class="dv">0</span>) <span class="sc">|&gt;</span> </span>
<span id="cb7-27"><a href="#cb7-27" aria-hidden="true" tabindex="-1"></a>  <span class="co"># get country_id for these events</span></span>
<span id="cb7-28"><a href="#cb7-28" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">cntry_id =</span> <span class="fu">paste0</span>(country_name, <span class="st">&quot;_&quot;</span>, t)) <span class="sc">|&gt;</span> </span>
<span id="cb7-29"><a href="#cb7-29" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pull</span>(cntry_id)</span>
<span id="cb7-30"><a href="#cb7-30" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-31"><a href="#cb7-31" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-32"><a href="#cb7-32" aria-hidden="true" tabindex="-1"></a>df.robust <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb7-33"><a href="#cb7-33" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-34"><a href="#cb7-34" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb7-35"><a href="#cb7-35" aria-hidden="true" tabindex="-1"></a>    <span class="at">cntry_id =</span> <span class="fu">paste0</span>(country_name, <span class="st">&quot;_&quot;</span>, t),</span>
<span id="cb7-36"><a href="#cb7-36" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> issue_7 <span class="sc">/</span> pr_total <span class="sc">*</span> <span class="dv">100</span>,</span>
<span id="cb7-37"><a href="#cb7-37" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome), <span class="dv">0</span>, outcome) </span>
<span id="cb7-38"><a href="#cb7-38" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-39"><a href="#cb7-39" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb7-40"><a href="#cb7-40" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-41"><a href="#cb7-41" aria-hidden="true" tabindex="-1"></a>  <span class="co"># filter out doubles</span></span>
<span id="cb7-42"><a href="#cb7-42" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="sc">!</span>cntry_id <span class="sc">%in%</span> doubles) <span class="sc">|&gt;</span> </span>
<span id="cb7-43"><a href="#cb7-43" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-44"><a href="#cb7-44" aria-hidden="true" tabindex="-1"></a>  <span class="co"># create lead and lag treatment indicators</span></span>
<span id="cb7-45"><a href="#cb7-45" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(parlgov_id) <span class="sc">|&gt;</span> </span>
<span id="cb7-46"><a href="#cb7-46" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb7-47"><a href="#cb7-47" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-48"><a href="#cb7-48" aria-hidden="true" tabindex="-1"></a>    <span class="co"># create indicators for periods since treatment</span></span>
<span id="cb7-49"><a href="#cb7-49" aria-hidden="true" tabindex="-1"></a>    <span class="at">d0 =</span> <span class="fu">ifelse</span>(treat <span class="sc">==</span> <span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-50"><a href="#cb7-50" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-51"><a href="#cb7-51" aria-hidden="true" tabindex="-1"></a>    <span class="co"># take first week as treatment in case event spreads across multiple weeks</span></span>
<span id="cb7-52"><a href="#cb7-52" aria-hidden="true" tabindex="-1"></a>    <span class="at">d0 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(d0 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">0</span>, d0), </span>
<span id="cb7-53"><a href="#cb7-53" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-54"><a href="#cb7-54" aria-hidden="true" tabindex="-1"></a>    <span class="co"># lags</span></span>
<span id="cb7-55"><a href="#cb7-55" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag1 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(d0 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-56"><a href="#cb7-56" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag2 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag1 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-57"><a href="#cb7-57" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag3 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag2 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-58"><a href="#cb7-58" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag4 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag3 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-59"><a href="#cb7-59" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag5 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag4 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-60"><a href="#cb7-60" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag6 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag5 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-61"><a href="#cb7-61" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-62"><a href="#cb7-62" aria-hidden="true" tabindex="-1"></a>    <span class="co"># leads</span></span>
<span id="cb7-63"><a href="#cb7-63" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead1 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(d0 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-64"><a href="#cb7-64" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead2 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead1 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-65"><a href="#cb7-65" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead3 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead2 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-66"><a href="#cb7-66" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead4 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead3 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-67"><a href="#cb7-67" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead5 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead4 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-68"><a href="#cb7-68" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead6 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead5 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>)</span>
<span id="cb7-69"><a href="#cb7-69" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-70"><a href="#cb7-70" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb7-71"><a href="#cb7-71" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-72"><a href="#cb7-72" aria-hidden="true" tabindex="-1"></a>  <span class="co"># get rid of all columns for different issues</span></span>
<span id="cb7-73"><a href="#cb7-73" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
<span id="cb7-74"><a href="#cb7-74" aria-hidden="true" tabindex="-1"></a>    <span class="sc">!</span><span class="fu">starts_with</span>(<span class="st">&quot;issue_&quot;</span>)</span>
<span id="cb7-75"><a href="#cb7-75" aria-hidden="true" tabindex="-1"></a>  ) </span>
<span id="cb7-76"><a href="#cb7-76" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-77"><a href="#cb7-77" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-78"><a href="#cb7-78" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-79"><a href="#cb7-79" aria-hidden="true" tabindex="-1"></a><span class="co"># get treated units</span></span>
<span id="cb7-80"><a href="#cb7-80" aria-hidden="true" tabindex="-1"></a>df.treated <span class="ot">&lt;-</span> df.robust <span class="sc">|&gt;</span> </span>
<span id="cb7-81"><a href="#cb7-81" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-82"><a href="#cb7-82" aria-hidden="true" tabindex="-1"></a>  <span class="co"># filter 8 weeks before and after event</span></span>
<span id="cb7-83"><a href="#cb7-83" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(</span>
<span id="cb7-84"><a href="#cb7-84" aria-hidden="true" tabindex="-1"></a>    d0 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-85"><a href="#cb7-85" aria-hidden="true" tabindex="-1"></a>      lead1 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-86"><a href="#cb7-86" aria-hidden="true" tabindex="-1"></a>      lead2 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-87"><a href="#cb7-87" aria-hidden="true" tabindex="-1"></a>      lead3 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-88"><a href="#cb7-88" aria-hidden="true" tabindex="-1"></a>      lead4 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-89"><a href="#cb7-89" aria-hidden="true" tabindex="-1"></a>      lead5 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-90"><a href="#cb7-90" aria-hidden="true" tabindex="-1"></a>      lead6 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-91"><a href="#cb7-91" aria-hidden="true" tabindex="-1"></a>      lag1 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-92"><a href="#cb7-92" aria-hidden="true" tabindex="-1"></a>      lag2 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-93"><a href="#cb7-93" aria-hidden="true" tabindex="-1"></a>      lag3 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-94"><a href="#cb7-94" aria-hidden="true" tabindex="-1"></a>      lag4 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-95"><a href="#cb7-95" aria-hidden="true" tabindex="-1"></a>      lag5 <span class="sc">==</span> <span class="dv">1</span> <span class="sc">|</span></span>
<span id="cb7-96"><a href="#cb7-96" aria-hidden="true" tabindex="-1"></a>      lag6 <span class="sc">==</span> <span class="dv">1</span> </span>
<span id="cb7-97"><a href="#cb7-97" aria-hidden="true" tabindex="-1"></a>  ) </span>
<span id="cb7-98"><a href="#cb7-98" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-99"><a href="#cb7-99" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-100"><a href="#cb7-100" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-101"><a href="#cb7-101" aria-hidden="true" tabindex="-1"></a><span class="co"># pull weeks to observe </span></span>
<span id="cb7-102"><a href="#cb7-102" aria-hidden="true" tabindex="-1"></a>t_weeks <span class="ot">&lt;-</span> df.treated <span class="sc">|&gt;</span> </span>
<span id="cb7-103"><a href="#cb7-103" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pull</span>(t) <span class="sc">|&gt;</span> </span>
<span id="cb7-104"><a href="#cb7-104" aria-hidden="true" tabindex="-1"></a>  <span class="fu">unique</span>()</span>
<span id="cb7-105"><a href="#cb7-105" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-106"><a href="#cb7-106" aria-hidden="true" tabindex="-1"></a><span class="co"># observe same weeks as in actually treated</span></span>
<span id="cb7-107"><a href="#cb7-107" aria-hidden="true" tabindex="-1"></a>df.placebo <span class="ot">&lt;-</span> df.robust <span class="sc">|&gt;</span> <span class="fu">filter</span>(t <span class="sc">%in%</span> t_weeks)</span>
<span id="cb7-108"><a href="#cb7-108" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-109"><a href="#cb7-109" aria-hidden="true" tabindex="-1"></a><span class="co"># filter out actually treated units</span></span>
<span id="cb7-110"><a href="#cb7-110" aria-hidden="true" tabindex="-1"></a>df.placebo <span class="ot">&lt;-</span> <span class="fu">anti_join</span>(df.placebo, df.treated)</span>
<span id="cb7-111"><a href="#cb7-111" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-112"><a href="#cb7-112" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-113"><a href="#cb7-113" aria-hidden="true" tabindex="-1"></a><span class="co"># pull treatment timing</span></span>
<span id="cb7-114"><a href="#cb7-114" aria-hidden="true" tabindex="-1"></a>t_placebo_nolag <span class="ot">&lt;-</span> df.treated <span class="sc">|&gt;</span> </span>
<span id="cb7-115"><a href="#cb7-115" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(d0 <span class="sc">==</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb7-116"><a href="#cb7-116" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(t) <span class="sc">|&gt;</span> </span>
<span id="cb7-117"><a href="#cb7-117" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">t =</span> <span class="fu">mean</span>(t)) <span class="sc">|&gt;</span> </span>
<span id="cb7-118"><a href="#cb7-118" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ungroup</span>() <span class="sc">|&gt;</span> </span>
<span id="cb7-119"><a href="#cb7-119" aria-hidden="true" tabindex="-1"></a>  <span class="co"># if multiple treatments within 6 weeks: only keep first</span></span>
<span id="cb7-120"><a href="#cb7-120" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">lag_t =</span> t <span class="sc">-</span> <span class="fu">lag</span>(t)) <span class="sc">|&gt;</span> </span>
<span id="cb7-121"><a href="#cb7-121" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(lag_t <span class="sc">&gt;</span> <span class="dv">6</span>) <span class="sc">|&gt;</span> </span>
<span id="cb7-122"><a href="#cb7-122" aria-hidden="true" tabindex="-1"></a>  <span class="fu">pull</span>(t)</span>
<span id="cb7-123"><a href="#cb7-123" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-124"><a href="#cb7-124" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-125"><a href="#cb7-125" aria-hidden="true" tabindex="-1"></a><span class="co"># create placebo df</span></span>
<span id="cb7-126"><a href="#cb7-126" aria-hidden="true" tabindex="-1"></a>df.placebo <span class="ot">&lt;-</span> df.placebo <span class="sc">|&gt;</span> </span>
<span id="cb7-127"><a href="#cb7-127" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-128"><a href="#cb7-128" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo treatment</span></span>
<span id="cb7-129"><a href="#cb7-129" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(parlgov_id) <span class="sc">|&gt;</span> </span>
<span id="cb7-130"><a href="#cb7-130" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb7-131"><a href="#cb7-131" aria-hidden="true" tabindex="-1"></a>    <span class="at">d0 =</span> <span class="fu">ifelse</span>(t <span class="sc">%in%</span> t_placebo_nolag, <span class="dv">1</span>, <span class="dv">0</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb7-132"><a href="#cb7-132" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-133"><a href="#cb7-133" aria-hidden="true" tabindex="-1"></a>  <span class="co"># leads and lags</span></span>
<span id="cb7-134"><a href="#cb7-134" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(parlgov_id) <span class="sc">|&gt;</span> </span>
<span id="cb7-135"><a href="#cb7-135" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb7-136"><a href="#cb7-136" aria-hidden="true" tabindex="-1"></a>    <span class="co"># lags</span></span>
<span id="cb7-137"><a href="#cb7-137" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag1 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(d0 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-138"><a href="#cb7-138" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag2 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag1 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-139"><a href="#cb7-139" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag3 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag2 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-140"><a href="#cb7-140" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag4 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag3 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-141"><a href="#cb7-141" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag5 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag4 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-142"><a href="#cb7-142" aria-hidden="true" tabindex="-1"></a>    <span class="at">lag6 =</span> <span class="fu">ifelse</span>(<span class="fu">lag</span>(lag5 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-143"><a href="#cb7-143" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-144"><a href="#cb7-144" aria-hidden="true" tabindex="-1"></a>    <span class="co"># leads</span></span>
<span id="cb7-145"><a href="#cb7-145" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead1 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(d0 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-146"><a href="#cb7-146" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead2 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead1 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-147"><a href="#cb7-147" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead3 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead2 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-148"><a href="#cb7-148" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead4 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead3 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-149"><a href="#cb7-149" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead5 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead4 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>),</span>
<span id="cb7-150"><a href="#cb7-150" aria-hidden="true" tabindex="-1"></a>    <span class="at">lead6 =</span> <span class="fu">ifelse</span>(<span class="fu">lead</span>(lead5 <span class="sc">==</span> <span class="dv">1</span>, <span class="at">default =</span> <span class="dv">0</span>), <span class="dv">1</span>, <span class="dv">0</span>)</span>
<span id="cb7-151"><a href="#cb7-151" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb7-152"><a href="#cb7-152" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-153"><a href="#cb7-153" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-154"><a href="#cb7-154" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-155"><a href="#cb7-155" aria-hidden="true" tabindex="-1"></a><span class="co"># MODELING ---------------------------------------------------------------------</span></span>
<span id="cb7-156"><a href="#cb7-156" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-157"><a href="#cb7-157" aria-hidden="true" tabindex="-1"></a>m_placebo_fe <span class="ot">=</span> <span class="fu">feols</span>(outcome <span class="sc">~</span> </span>
<span id="cb7-158"><a href="#cb7-158" aria-hidden="true" tabindex="-1"></a>                       t <span class="sc">+</span> d0 <span class="sc">+</span> lag1 <span class="sc">+</span> lag2 <span class="sc">+</span> lag3 <span class="sc">+</span> lag4 <span class="sc">+</span> lag5 <span class="sc">+</span> lag6 <span class="sc">|</span> </span>
<span id="cb7-159"><a href="#cb7-159" aria-hidden="true" tabindex="-1"></a>                       parlgov_id, df.placebo)</span>
<span id="cb7-160"><a href="#cb7-160" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-161"><a href="#cb7-161" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-162"><a href="#cb7-162" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-163"><a href="#cb7-163" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-164"><a href="#cb7-164" aria-hidden="true" tabindex="-1"></a><span class="co"># store estimates</span></span>
<span id="cb7-165"><a href="#cb7-165" aria-hidden="true" tabindex="-1"></a>gg.placebo <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
<span id="cb7-166"><a href="#cb7-166" aria-hidden="true" tabindex="-1"></a>  <span class="at">coef =</span> <span class="fu">coef</span>(m_placebo_fe)[<span class="fu">c</span>(<span class="st">&quot;d0&quot;</span>, <span class="st">&quot;lag1&quot;</span>, <span class="st">&quot;lag2&quot;</span>, <span class="st">&quot;lag3&quot;</span>, <span class="st">&quot;lag4&quot;</span>, <span class="st">&quot;lag5&quot;</span>, <span class="st">&quot;lag6&quot;</span>)],</span>
<span id="cb7-167"><a href="#cb7-167" aria-hidden="true" tabindex="-1"></a>  <span class="at">se =</span> <span class="fu">se</span>(m_placebo_fe)[<span class="fu">c</span>(<span class="st">&quot;d0&quot;</span>, <span class="st">&quot;lag1&quot;</span>, <span class="st">&quot;lag2&quot;</span>, <span class="st">&quot;lag3&quot;</span>, <span class="st">&quot;lag4&quot;</span>, <span class="st">&quot;lag5&quot;</span>, <span class="st">&quot;lag6&quot;</span>)]</span>
<span id="cb7-168"><a href="#cb7-168" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb7-169"><a href="#cb7-169" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-170"><a href="#cb7-170" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-171"><a href="#cb7-171" aria-hidden="true" tabindex="-1"></a><span class="co"># period + CIs</span></span>
<span id="cb7-172"><a href="#cb7-172" aria-hidden="true" tabindex="-1"></a>gg.placebo <span class="ot">&lt;-</span> gg.placebo <span class="sc">|&gt;</span> </span>
<span id="cb7-173"><a href="#cb7-173" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb7-174"><a href="#cb7-174" aria-hidden="true" tabindex="-1"></a>    <span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> <span class="dv">1</span>,</span>
<span id="cb7-175"><a href="#cb7-175" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb7-176"><a href="#cb7-176" aria-hidden="true" tabindex="-1"></a>    <span class="co"># CIs</span></span>
<span id="cb7-177"><a href="#cb7-177" aria-hidden="true" tabindex="-1"></a>    <span class="at">low_ci =</span> coef <span class="sc">-</span> <span class="fl">1.96</span><span class="sc">*</span>se,</span>
<span id="cb7-178"><a href="#cb7-178" aria-hidden="true" tabindex="-1"></a>    <span class="at">up_ci  =</span> coef <span class="sc">+</span> <span class="fl">1.96</span><span class="sc">*</span>se,</span>
<span id="cb7-179"><a href="#cb7-179" aria-hidden="true" tabindex="-1"></a>  )</span>
<span id="cb7-180"><a href="#cb7-180" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-181"><a href="#cb7-181" aria-hidden="true" tabindex="-1"></a><span class="co"># PLOT -------------------------------------------------------------------------</span></span>
<span id="cb7-182"><a href="#cb7-182" aria-hidden="true" tabindex="-1"></a>gg.placebo <span class="sc">|&gt;</span> </span>
<span id="cb7-183"><a href="#cb7-183" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ggplot</span>() <span class="sc">+</span> </span>
<span id="cb7-184"><a href="#cb7-184" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-185"><a href="#cb7-185" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Gray pre treatment shade</span></span>
<span id="cb7-186"><a href="#cb7-186" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb7-187"><a href="#cb7-187" aria-hidden="true" tabindex="-1"></a>            <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb7-188"><a href="#cb7-188" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-189"><a href="#cb7-189" aria-hidden="true" tabindex="-1"></a>  <span class="co"># CIs</span></span>
<span id="cb7-190"><a href="#cb7-190" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci),</span>
<span id="cb7-191"><a href="#cb7-191" aria-hidden="true" tabindex="-1"></a>                 <span class="at">alpha =</span> .<span class="dv">7</span>,</span>
<span id="cb7-192"><a href="#cb7-192" aria-hidden="true" tabindex="-1"></a>                 <span class="at">linewidth =</span> <span class="fl">0.75</span>) <span class="sc">+</span> </span>
<span id="cb7-193"><a href="#cb7-193" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-194"><a href="#cb7-194" aria-hidden="true" tabindex="-1"></a>  <span class="co"># fixed lines</span></span>
<span id="cb7-195"><a href="#cb7-195" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb7-196"><a href="#cb7-196" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-197"><a href="#cb7-197" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-198"><a href="#cb7-198" aria-hidden="true" tabindex="-1"></a>  <span class="co"># CIs</span></span>
<span id="cb7-199"><a href="#cb7-199" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci),</span>
<span id="cb7-200"><a href="#cb7-200" aria-hidden="true" tabindex="-1"></a>                 <span class="at">linewidth =</span> <span class="fl">0.5</span>) <span class="sc">+</span> </span>
<span id="cb7-201"><a href="#cb7-201" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-202"><a href="#cb7-202" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Coef</span></span>
<span id="cb7-203"><a href="#cb7-203" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> coef),</span>
<span id="cb7-204"><a href="#cb7-204" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">3</span>)  <span class="sc">+</span></span>
<span id="cb7-205"><a href="#cb7-205" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-206"><a href="#cb7-206" aria-hidden="true" tabindex="-1"></a>  <span class="co"># fixed lines</span></span>
<span id="cb7-207"><a href="#cb7-207" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb7-208"><a href="#cb7-208" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-209"><a href="#cb7-209" aria-hidden="true" tabindex="-1"></a>  <span class="co"># look</span></span>
<span id="cb7-210"><a href="#cb7-210" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ylab</span>(<span class="st">&quot;Change in issue attention to the environment&quot;</span>) <span class="sc">+</span></span>
<span id="cb7-211"><a href="#cb7-211" aria-hidden="true" tabindex="-1"></a>  <span class="fu">xlab</span>(<span class="st">&quot;Weeks relative to placebo weather event&quot;</span>) <span class="sc">+</span> </span>
<span id="cb7-212"><a href="#cb7-212" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-213"><a href="#cb7-213" aria-hidden="true" tabindex="-1"></a>  <span class="co"># theme</span></span>
<span id="cb7-214"><a href="#cb7-214" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb7-215"><a href="#cb7-215" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb7-216"><a href="#cb7-216" aria-hidden="true" tabindex="-1"></a>        <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) </span>
<span id="cb7-217"><a href="#cb7-217" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb7-218"><a href="#cb7-218" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-219"><a href="#cb7-219" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb7-220"><a href="#cb7-220" aria-hidden="true" tabindex="-1"></a><span class="fu">ggsave</span>(<span class="fu">here</span>(<span class="st">&quot;results/graphs/fig_ex_data_03.pdf&quot;</span>),</span>
<span id="cb7-221"><a href="#cb7-221" aria-hidden="true" tabindex="-1"></a>       <span class="at">height =</span> <span class="dv">4</span>, </span>
<span id="cb7-222"><a href="#cb7-222" aria-hidden="true" tabindex="-1"></a>       <span class="at">width =</span> <span class="dv">5</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
<section id="green-party-representation" class="level2">
<h2 class="anchored" data-anchor-id="green-party-representation">Green party representation</h2>
<p>We also rule out that our effects are driven by the presense or non-presense of Green parties in a given party system. The analysis underlying Extended Data Figure 4 in the paper is replicable with <code>scripts/04_robustness_greens.R</code>.</p>
<div class="cell">
<details>
<summary>Show code: scripts/04_robustness_greens.R</summary>
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES --------------------------------------------------------------------</span></span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a>  PanelMatch,</span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a>  panelView,</span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a>  ggpubr,</span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a>  ggrepel,</span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a>  cowplot,</span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb8-12"><a href="#cb8-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-13"><a href="#cb8-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-14"><a href="#cb8-14" aria-hidden="true" tabindex="-1"></a><span class="co"># DATA WRANGLING FOR PANELMATCH ------------------------------------------------</span></span>
<span id="cb8-15"><a href="#cb8-15" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))  <span class="sc">|&gt;</span> </span>
<span id="cb8-16"><a href="#cb8-16" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb8-17"><a href="#cb8-17" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-18"><a href="#cb8-18" aria-hidden="true" tabindex="-1"></a>    <span class="co"># only integers allowed </span></span>
<span id="cb8-19"><a href="#cb8-19" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> <span class="fu">as.integer</span>(parlgov_id),</span>
<span id="cb8-20"><a href="#cb8-20" aria-hidden="true" tabindex="-1"></a>    <span class="at">t =</span> <span class="fu">as.integer</span>(t),</span>
<span id="cb8-21"><a href="#cb8-21" aria-hidden="true" tabindex="-1"></a>    <span class="at">country =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(country_name)),</span>
<span id="cb8-22"><a href="#cb8-22" aria-hidden="true" tabindex="-1"></a>    <span class="at">family =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(family_name_short))</span>
<span id="cb8-23"><a href="#cb8-23" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-24"><a href="#cb8-24" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb8-25"><a href="#cb8-25" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-26"><a href="#cb8-26" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
<span id="cb8-27"><a href="#cb8-27" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-28"><a href="#cb8-28" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Covs</span></span>
<span id="cb8-29"><a href="#cb8-29" aria-hidden="true" tabindex="-1"></a>    parlgov_id, t, family, country, cabinet_party,</span>
<span id="cb8-30"><a href="#cb8-30" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-31"><a href="#cb8-31" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Treatments</span></span>
<span id="cb8-32"><a href="#cb8-32" aria-hidden="true" tabindex="-1"></a>    treat, treat_flood, treat_storm, treat_fire, treat_temp,</span>
<span id="cb8-33"><a href="#cb8-33" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-34"><a href="#cb8-34" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Outcome</span></span>
<span id="cb8-35"><a href="#cb8-35" aria-hidden="true" tabindex="-1"></a>    issue_7, pr_total</span>
<span id="cb8-36"><a href="#cb8-36" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-37"><a href="#cb8-37" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb8-38"><a href="#cb8-38" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-39"><a href="#cb8-39" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb8-40"><a href="#cb8-40" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-41"><a href="#cb8-41" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> issue_7 <span class="sc">/</span> pr_total,</span>
<span id="cb8-42"><a href="#cb8-42" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome), <span class="dv">0</span>, outcome) </span>
<span id="cb8-43"><a href="#cb8-43" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-44"><a href="#cb8-44" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb8-45"><a href="#cb8-45" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-46"><a href="#cb8-46" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb8-47"><a href="#cb8-47" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-48"><a href="#cb8-48" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(parlgov_id)) </span>
<span id="cb8-49"><a href="#cb8-49" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-50"><a href="#cb8-50" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-51"><a href="#cb8-51" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-52"><a href="#cb8-52" aria-hidden="true" tabindex="-1"></a><span class="co"># Check if there&#39;s a green party in each country*week</span></span>
<span id="cb8-53"><a href="#cb8-53" aria-hidden="true" tabindex="-1"></a>df.greens_in_parl <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> </span>
<span id="cb8-54"><a href="#cb8-54" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">green =</span> <span class="fu">ifelse</span>(family <span class="sc">==</span> <span class="dv">5</span>, <span class="dv">1</span>, <span class="dv">0</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb8-55"><a href="#cb8-55" aria-hidden="true" tabindex="-1"></a>  <span class="fu">group_by</span>(country, t) <span class="sc">|&gt;</span> </span>
<span id="cb8-56"><a href="#cb8-56" aria-hidden="true" tabindex="-1"></a>  <span class="fu">summarize</span>(<span class="at">greens_in_parl =</span> <span class="fu">mean</span>(green)) <span class="sc">|&gt;</span> </span>
<span id="cb8-57"><a href="#cb8-57" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">greens_in_parl =</span> <span class="fu">ceiling</span>(greens_in_parl))</span>
<span id="cb8-58"><a href="#cb8-58" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-59"><a href="#cb8-59" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-60"><a href="#cb8-60" aria-hidden="true" tabindex="-1"></a><span class="co"># join indicator back to df.panelmatch</span></span>
<span id="cb8-61"><a href="#cb8-61" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> <span class="fu">left_join</span>(df.panelmatch, df.greens_in_parl,</span>
<span id="cb8-62"><a href="#cb8-62" aria-hidden="true" tabindex="-1"></a>                           <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;country&quot;</span>, <span class="st">&quot;t&quot;</span>))</span>
<span id="cb8-63"><a href="#cb8-63" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-64"><a href="#cb8-64" aria-hidden="true" tabindex="-1"></a><span class="co"># mutate outcomes</span></span>
<span id="cb8-65"><a href="#cb8-65" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-66"><a href="#cb8-66" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> </span>
<span id="cb8-67"><a href="#cb8-67" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb8-68"><a href="#cb8-68" aria-hidden="true" tabindex="-1"></a>    <span class="at">attention_greens =</span> <span class="fu">ifelse</span>(greens_in_parl <span class="sc">==</span> <span class="dv">1</span>, outcome, <span class="cn">NA</span>),</span>
<span id="cb8-69"><a href="#cb8-69" aria-hidden="true" tabindex="-1"></a>    <span class="at">attention_no_greens =</span> <span class="fu">ifelse</span>(greens_in_parl <span class="sc">==</span> <span class="dv">0</span>, outcome, <span class="cn">NA</span>)</span>
<span id="cb8-70"><a href="#cb8-70" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb8-71"><a href="#cb8-71" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-72"><a href="#cb8-72" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-73"><a href="#cb8-73" aria-hidden="true" tabindex="-1"></a><span class="co"># Globally define leads and lags, iterations</span></span>
<span id="cb8-74"><a href="#cb8-74" aria-hidden="true" tabindex="-1"></a>lag <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb8-75"><a href="#cb8-75" aria-hidden="true" tabindex="-1"></a>lead <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb8-76"><a href="#cb8-76" aria-hidden="true" tabindex="-1"></a>n_iterations <span class="ot">&lt;-</span> <span class="dv">1000</span></span>
<span id="cb8-77"><a href="#cb8-77" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-78"><a href="#cb8-78" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-79"><a href="#cb8-79" aria-hidden="true" tabindex="-1"></a><span class="co"># create empty tibble for data viz</span></span>
<span id="cb8-80"><a href="#cb8-80" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
<span id="cb8-81"><a href="#cb8-81" aria-hidden="true" tabindex="-1"></a>  <span class="at">coef =</span> <span class="fu">numeric</span>(), </span>
<span id="cb8-82"><a href="#cb8-82" aria-hidden="true" tabindex="-1"></a>  <span class="at">se =</span> <span class="fu">numeric</span>(),</span>
<span id="cb8-83"><a href="#cb8-83" aria-hidden="true" tabindex="-1"></a>  <span class="at">model =</span> <span class="fu">numeric</span>()</span>
<span id="cb8-84"><a href="#cb8-84" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb8-85"><a href="#cb8-85" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-86"><a href="#cb8-86" aria-hidden="true" tabindex="-1"></a><span class="co"># LOOPS TO CREATE ONE GRAPH ACROSS ALL MODELS ----------------------------------</span></span>
<span id="cb8-87"><a href="#cb8-87" aria-hidden="true" tabindex="-1"></a>models <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;w/ Greens&quot;</span>,</span>
<span id="cb8-88"><a href="#cb8-88" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;w/o Greens&quot;</span>)</span>
<span id="cb8-89"><a href="#cb8-89" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (model <span class="cf">in</span> models) {</span>
<span id="cb8-90"><a href="#cb8-90" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;w/ Greens&quot;</span>) {</span>
<span id="cb8-91"><a href="#cb8-91" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> </span>
<span id="cb8-92"><a href="#cb8-92" aria-hidden="true" tabindex="-1"></a>      <span class="fu">mutate</span>(<span class="at">outcome =</span> attention_greens)</span>
<span id="cb8-93"><a href="#cb8-93" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;w/o Greens&quot;</span>) {</span>
<span id="cb8-94"><a href="#cb8-94" aria-hidden="true" tabindex="-1"></a>    df.tmp <span class="ot">&lt;-</span> df.panelmatch <span class="sc">|&gt;</span> </span>
<span id="cb8-95"><a href="#cb8-95" aria-hidden="true" tabindex="-1"></a>      <span class="fu">mutate</span>(<span class="at">outcome =</span> attention_no_greens)</span>
<span id="cb8-96"><a href="#cb8-96" aria-hidden="true" tabindex="-1"></a>  } </span>
<span id="cb8-97"><a href="#cb8-97" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-98"><a href="#cb8-98" aria-hidden="true" tabindex="-1"></a>  PM.results <span class="ot">&lt;-</span> <span class="fu">PanelMatch</span>(<span class="at">lag =</span> lag, </span>
<span id="cb8-99"><a href="#cb8-99" aria-hidden="true" tabindex="-1"></a>                           <span class="at">lead =</span> <span class="dv">0</span><span class="sc">:</span>lead, </span>
<span id="cb8-100"><a href="#cb8-100" aria-hidden="true" tabindex="-1"></a>                           <span class="at">data =</span> df.tmp,</span>
<span id="cb8-101"><a href="#cb8-101" aria-hidden="true" tabindex="-1"></a>                           <span class="at">time.id =</span> <span class="st">&quot;t&quot;</span>, </span>
<span id="cb8-102"><a href="#cb8-102" aria-hidden="true" tabindex="-1"></a>                           <span class="at">unit.id =</span> <span class="st">&quot;parlgov_id&quot;</span>,</span>
<span id="cb8-103"><a href="#cb8-103" aria-hidden="true" tabindex="-1"></a>                           <span class="at">treatment =</span> <span class="st">&quot;treat&quot;</span>, </span>
<span id="cb8-104"><a href="#cb8-104" aria-hidden="true" tabindex="-1"></a>                           <span class="at">outcome.var =</span> <span class="st">&quot;outcome&quot;</span>,</span>
<span id="cb8-105"><a href="#cb8-105" aria-hidden="true" tabindex="-1"></a>                           <span class="at">match.missing =</span> <span class="cn">TRUE</span>,</span>
<span id="cb8-106"><a href="#cb8-106" aria-hidden="true" tabindex="-1"></a>                           <span class="at">refinement.method =</span> <span class="st">&quot;mahalanobis&quot;</span>,</span>
<span id="cb8-107"><a href="#cb8-107" aria-hidden="true" tabindex="-1"></a>                           <span class="at">covs.formula =</span> <span class="sc">~</span> <span class="fu">I</span>(<span class="fu">lag</span>(outcome, <span class="dv">1</span><span class="sc">:</span>lead)),</span>
<span id="cb8-108"><a href="#cb8-108" aria-hidden="true" tabindex="-1"></a>                           <span class="at">exact.match.variables =</span> <span class="st">&quot;family&quot;</span>,</span>
<span id="cb8-109"><a href="#cb8-109" aria-hidden="true" tabindex="-1"></a>                           <span class="at">size.match =</span> <span class="dv">10</span>, </span>
<span id="cb8-110"><a href="#cb8-110" aria-hidden="true" tabindex="-1"></a>                           <span class="at">qoi =</span> <span class="st">&quot;att&quot;</span>,</span>
<span id="cb8-111"><a href="#cb8-111" aria-hidden="true" tabindex="-1"></a>                           <span class="at">forbid.treatment.reversal =</span> <span class="cn">FALSE</span>)</span>
<span id="cb8-112"><a href="#cb8-112" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-113"><a href="#cb8-113" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-114"><a href="#cb8-114" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Treatment</span></span>
<span id="cb8-115"><a href="#cb8-115" aria-hidden="true" tabindex="-1"></a>  PE.treat <span class="ot">&lt;-</span> <span class="fu">PanelEstimate</span>(<span class="at">sets =</span> PM.results, </span>
<span id="cb8-116"><a href="#cb8-116" aria-hidden="true" tabindex="-1"></a>                            <span class="at">data =</span> df.tmp,</span>
<span id="cb8-117"><a href="#cb8-117" aria-hidden="true" tabindex="-1"></a>                            <span class="at">se.method =</span> <span class="st">&quot;bootstrap&quot;</span>,</span>
<span id="cb8-118"><a href="#cb8-118" aria-hidden="true" tabindex="-1"></a>                            <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb8-119"><a href="#cb8-119" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-120"><a href="#cb8-120" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Store Coefs and SEs</span></span>
<span id="cb8-121"><a href="#cb8-121" aria-hidden="true" tabindex="-1"></a>  gg.treat <span class="ot">&lt;-</span> <span class="fu">summary</span>(PE.treat, </span>
<span id="cb8-122"><a href="#cb8-122" aria-hidden="true" tabindex="-1"></a>                      <span class="at">verbose =</span> F, </span>
<span id="cb8-123"><a href="#cb8-123" aria-hidden="true" tabindex="-1"></a>                      <span class="at">bias.corrected =</span> F) <span class="sc">|&gt;</span> </span>
<span id="cb8-124"><a href="#cb8-124" aria-hidden="true" tabindex="-1"></a>    <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb8-125"><a href="#cb8-125" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model,</span>
<span id="cb8-126"><a href="#cb8-126" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb8-127"><a href="#cb8-127" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">low_ci =</span> <span class="st">`</span><span class="at">2.5%</span><span class="st">`</span>,</span>
<span id="cb8-128"><a href="#cb8-128" aria-hidden="true" tabindex="-1"></a>           <span class="at">up_ci =</span> <span class="st">`</span><span class="at">97.5%</span><span class="st">`</span>) <span class="sc">|&gt;</span> </span>
<span id="cb8-129"><a href="#cb8-129" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(<span class="sc">-</span>std.error)</span>
<span id="cb8-130"><a href="#cb8-130" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-131"><a href="#cb8-131" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Placebo</span></span>
<span id="cb8-132"><a href="#cb8-132" aria-hidden="true" tabindex="-1"></a>  PE.placebo <span class="ot">&lt;-</span> <span class="fu">placebo_test</span>(PM.results, </span>
<span id="cb8-133"><a href="#cb8-133" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.tmp, </span>
<span id="cb8-134"><a href="#cb8-134" aria-hidden="true" tabindex="-1"></a>                             <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb8-135"><a href="#cb8-135" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-136"><a href="#cb8-136" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo estimates  </span></span>
<span id="cb8-137"><a href="#cb8-137" aria-hidden="true" tabindex="-1"></a>  placebo_estimates <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb8-138"><a href="#cb8-138" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> (lead <span class="sc">+</span> <span class="dv">1</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb8-139"><a href="#cb8-139" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">estimate =</span> value) </span>
<span id="cb8-140"><a href="#cb8-140" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-141"><a href="#cb8-141" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-142"><a href="#cb8-142" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo CIs, percentiles from bootstrapping</span></span>
<span id="cb8-143"><a href="#cb8-143" aria-hidden="true" tabindex="-1"></a>  percentiles <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>bootstrapped.estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb8-144"><a href="#cb8-144" aria-hidden="true" tabindex="-1"></a>    <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="fu">everything</span>(), <span class="sc">~</span> <span class="fu">quantile</span>(., <span class="at">probs =</span> <span class="fu">c</span>(<span class="fl">0.025</span>, <span class="fl">0.975</span>)))) </span>
<span id="cb8-145"><a href="#cb8-145" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-146"><a href="#cb8-146" aria-hidden="true" tabindex="-1"></a>  percentiles_longer <span class="ot">&lt;-</span> percentiles <span class="sc">|&gt;</span> </span>
<span id="cb8-147"><a href="#cb8-147" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">quantile =</span> <span class="fu">row_number</span>(),</span>
<span id="cb8-148"><a href="#cb8-148" aria-hidden="true" tabindex="-1"></a>           <span class="at">quantile =</span> <span class="fu">case_when</span>(quantile <span class="sc">==</span> <span class="dv">1</span> <span class="sc">~</span> <span class="st">&quot;low_ci&quot;</span>,</span>
<span id="cb8-149"><a href="#cb8-149" aria-hidden="true" tabindex="-1"></a>                                quantile <span class="sc">==</span> <span class="dv">2</span> <span class="sc">~</span> <span class="st">&quot;up_ci&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb8-150"><a href="#cb8-150" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_longer</span>(<span class="at">cols =</span> <span class="fu">starts_with</span>(<span class="st">&quot;t-&quot;</span>), <span class="at">names_to =</span> <span class="st">&quot;period&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">%&gt;%</span></span>
<span id="cb8-151"><a href="#cb8-151" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">&quot;quantile&quot;</span>, <span class="at">values_from =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb8-152"><a href="#cb8-152" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">substr</span>(period,<span class="dv">2</span>,<span class="dv">3</span>),</span>
<span id="cb8-153"><a href="#cb8-153" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">as.numeric</span>(period))</span>
<span id="cb8-154"><a href="#cb8-154" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-155"><a href="#cb8-155" aria-hidden="true" tabindex="-1"></a>  <span class="co"># join placebo estimates and placebo CIs</span></span>
<span id="cb8-156"><a href="#cb8-156" aria-hidden="true" tabindex="-1"></a>  gg.placebo <span class="ot">&lt;-</span> <span class="fu">left_join</span>(placebo_estimates, percentiles_longer,</span>
<span id="cb8-157"><a href="#cb8-157" aria-hidden="true" tabindex="-1"></a>                          <span class="at">by =</span> <span class="st">&quot;period&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb8-158"><a href="#cb8-158" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model)</span>
<span id="cb8-159"><a href="#cb8-159" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-160"><a href="#cb8-160" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bind placebo to treatment</span></span>
<span id="cb8-161"><a href="#cb8-161" aria-hidden="true" tabindex="-1"></a>  gg.tmp <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.placebo, gg.treat)</span>
<span id="cb8-162"><a href="#cb8-162" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-163"><a href="#cb8-163" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Add to main viz DF</span></span>
<span id="cb8-164"><a href="#cb8-164" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.did, gg.tmp)</span>
<span id="cb8-165"><a href="#cb8-165" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb8-166"><a href="#cb8-166" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb8-167"><a href="#cb8-167" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-168"><a href="#cb8-168" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-169"><a href="#cb8-169" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-170"><a href="#cb8-170" aria-hidden="true" tabindex="-1"></a><span class="co"># PLOTS ------------------------------------------------------------------------</span></span>
<span id="cb8-171"><a href="#cb8-171" aria-hidden="true" tabindex="-1"></a><span class="co"># globally define settings</span></span>
<span id="cb8-172"><a href="#cb8-172" aria-hidden="true" tabindex="-1"></a>pre_color <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb8-173"><a href="#cb8-173" aria-hidden="true" tabindex="-1"></a>post_color <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb8-174"><a href="#cb8-174" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-175"><a href="#cb8-175" aria-hidden="true" tabindex="-1"></a>pre_fill <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb8-176"><a href="#cb8-176" aria-hidden="true" tabindex="-1"></a>post_fill <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb8-177"><a href="#cb8-177" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-178"><a href="#cb8-178" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-179"><a href="#cb8-179" aria-hidden="true" tabindex="-1"></a>pre_shape <span class="ot">&lt;-</span> <span class="dv">17</span></span>
<span id="cb8-180"><a href="#cb8-180" aria-hidden="true" tabindex="-1"></a>post_shape <span class="ot">&lt;-</span> <span class="dv">16</span></span>
<span id="cb8-181"><a href="#cb8-181" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-182"><a href="#cb8-182" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb8-183"><a href="#cb8-183" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb8-184"><a href="#cb8-184" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">pre =</span> <span class="fu">ifelse</span>(period <span class="sc">&lt;</span> <span class="dv">0</span>, <span class="st">&quot;pre&quot;</span>, <span class="st">&quot;post&quot;</span>))</span>
<span id="cb8-185"><a href="#cb8-185" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-186"><a href="#cb8-186" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-187"><a href="#cb8-187" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-188"><a href="#cb8-188" aria-hidden="true" tabindex="-1"></a><span class="co"># data wrangling for plot</span></span>
<span id="cb8-189"><a href="#cb8-189" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb8-190"><a href="#cb8-190" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb8-191"><a href="#cb8-191" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-192"><a href="#cb8-192" aria-hidden="true" tabindex="-1"></a>    <span class="co"># make it percentage points</span></span>
<span id="cb8-193"><a href="#cb8-193" aria-hidden="true" tabindex="-1"></a>    <span class="at">estimate =</span> estimate <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb8-194"><a href="#cb8-194" aria-hidden="true" tabindex="-1"></a>    <span class="at">low_ci =</span> low_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb8-195"><a href="#cb8-195" aria-hidden="true" tabindex="-1"></a>    <span class="at">up_ci =</span> up_ci <span class="sc">*</span> <span class="dv">100</span></span>
<span id="cb8-196"><a href="#cb8-196" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-197"><a href="#cb8-197" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb8-198"><a href="#cb8-198" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-199"><a href="#cb8-199" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-200"><a href="#cb8-200" aria-hidden="true" tabindex="-1"></a>gg.did <span class="sc">|&gt;</span> </span>
<span id="cb8-201"><a href="#cb8-201" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb8-202"><a href="#cb8-202" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-203"><a href="#cb8-203" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Gray pre treatment shade</span></span>
<span id="cb8-204"><a href="#cb8-204" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb8-205"><a href="#cb8-205" aria-hidden="true" tabindex="-1"></a>              <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb8-206"><a href="#cb8-206" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-207"><a href="#cb8-207" aria-hidden="true" tabindex="-1"></a>    <span class="co"># CIs</span></span>
<span id="cb8-208"><a href="#cb8-208" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb8-209"><a href="#cb8-209" aria-hidden="true" tabindex="-1"></a>                   <span class="at">alpha =</span> .<span class="dv">7</span>,</span>
<span id="cb8-210"><a href="#cb8-210" aria-hidden="true" tabindex="-1"></a>                   <span class="at">linewidth =</span> <span class="fl">0.75</span>) <span class="sc">+</span> </span>
<span id="cb8-211"><a href="#cb8-211" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-212"><a href="#cb8-212" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Coef</span></span>
<span id="cb8-213"><a href="#cb8-213" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb8-214"><a href="#cb8-214" aria-hidden="true" tabindex="-1"></a>               <span class="at">size =</span> <span class="dv">3</span>) <span class="sc">+</span> </span>
<span id="cb8-215"><a href="#cb8-215" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-216"><a href="#cb8-216" aria-hidden="true" tabindex="-1"></a>    <span class="co"># fixed lines</span></span>
<span id="cb8-217"><a href="#cb8-217" aria-hidden="true" tabindex="-1"></a>    <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb8-218"><a href="#cb8-218" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-219"><a href="#cb8-219" aria-hidden="true" tabindex="-1"></a>    <span class="co"># look</span></span>
<span id="cb8-220"><a href="#cb8-220" aria-hidden="true" tabindex="-1"></a>    <span class="fu">ylab</span>(<span class="st">&quot;Percentage change in attention&quot;</span>) <span class="sc">+</span></span>
<span id="cb8-221"><a href="#cb8-221" aria-hidden="true" tabindex="-1"></a>    <span class="fu">xlab</span>(<span class="st">&quot;Weeks relative to extreme weather event&quot;</span>) <span class="sc">+</span> </span>
<span id="cb8-222"><a href="#cb8-222" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb8-223"><a href="#cb8-223" aria-hidden="true" tabindex="-1"></a>    <span class="fu">facet_wrap</span>(<span class="sc">~</span> model, </span>
<span id="cb8-224"><a href="#cb8-224" aria-hidden="true" tabindex="-1"></a>               <span class="at">scales =</span> <span class="st">&quot;free&quot;</span>, </span>
<span id="cb8-225"><a href="#cb8-225" aria-hidden="true" tabindex="-1"></a>               <span class="at">ncol =</span> <span class="dv">2</span>) <span class="sc">+</span></span>
<span id="cb8-226"><a href="#cb8-226" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb8-227"><a href="#cb8-227" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb8-228"><a href="#cb8-228" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb8-229"><a href="#cb8-229" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb8-230"><a href="#cb8-230" aria-hidden="true" tabindex="-1"></a>    <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb8-231"><a href="#cb8-231" aria-hidden="true" tabindex="-1"></a>                                 <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb8-232"><a href="#cb8-232" aria-hidden="true" tabindex="-1"></a>    <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb8-233"><a href="#cb8-233" aria-hidden="true" tabindex="-1"></a>           <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb8-234"><a href="#cb8-234" aria-hidden="true" tabindex="-1"></a>           <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb8-235"><a href="#cb8-235" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-236"><a href="#cb8-236" aria-hidden="true" tabindex="-1"></a>    <span class="fu">coord_cartesian</span>(<span class="at">xlim =</span> <span class="fu">c</span>(<span class="fu">min</span>(gg.did<span class="sc">$</span>period), <span class="fu">max</span>(gg.did<span class="sc">$</span>period))) <span class="sc">+</span> </span>
<span id="cb8-237"><a href="#cb8-237" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb8-238"><a href="#cb8-238" aria-hidden="true" tabindex="-1"></a>    <span class="co"># theme</span></span>
<span id="cb8-239"><a href="#cb8-239" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb8-240"><a href="#cb8-240" aria-hidden="true" tabindex="-1"></a>    <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb8-241"><a href="#cb8-241" aria-hidden="true" tabindex="-1"></a>          <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) <span class="sc">+</span></span>
<span id="cb8-242"><a href="#cb8-242" aria-hidden="true" tabindex="-1"></a>  <span class="fu">facet_grid</span>(<span class="sc">~</span> model)</span>
<span id="cb8-243"><a href="#cb8-243" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-244"><a href="#cb8-244" aria-hidden="true" tabindex="-1"></a><span class="co"># EXPORT -----------------------------------------------------------------------</span></span>
<span id="cb8-245"><a href="#cb8-245" aria-hidden="true" tabindex="-1"></a><span class="fu">ggsave</span>(<span class="fu">here</span>(<span class="st">&quot;results/graphs/fig_ex_data_04.pdf&quot;</span>),</span>
<span id="cb8-246"><a href="#cb8-246" aria-hidden="true" tabindex="-1"></a>       <span class="at">width =</span> <span class="dv">7</span>,</span>
<span id="cb8-247"><a href="#cb8-247" aria-hidden="true" tabindex="-1"></a>       <span class="at">height =</span> <span class="dv">5</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
<section id="relief" class="level2">
<h2 class="anchored" data-anchor-id="relief">Relief</h2>
<p>Finally, we see a sharp increase in relief-related communication in the week of an extreme weather event indicating that parties do address these events without addressing climate change. The analysis underlying Extended Data Figure 5 <code>scripts/04_robustness_dictionary_relief.R</code>.</p>
<div class="cell">
<details>
<summary>Show code: scripts/04_robustness_dictionary_relief.R</summary>
<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="co"># PACKAGES --------------------------------------------------------------------</span></span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>)</span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(</span>
<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a>  tidyverse,</span>
<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a>  PanelMatch,</span>
<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a>  panelView,</span>
<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a>  ggpubr,</span>
<span id="cb9-8"><a href="#cb9-8" aria-hidden="true" tabindex="-1"></a>  ggrepel,</span>
<span id="cb9-9"><a href="#cb9-9" aria-hidden="true" tabindex="-1"></a>  cowplot,</span>
<span id="cb9-10"><a href="#cb9-10" aria-hidden="true" tabindex="-1"></a>  here</span>
<span id="cb9-11"><a href="#cb9-11" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb9-12"><a href="#cb9-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-13"><a href="#cb9-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-14"><a href="#cb9-14" aria-hidden="true" tabindex="-1"></a><span class="co"># DATA WRANGLING FOR PANELMATCH ------------------------------------------------</span></span>
<span id="cb9-15"><a href="#cb9-15" aria-hidden="true" tabindex="-1"></a>df.panelmatch <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/press_weekly.csv&quot;</span>))   <span class="sc">|&gt;</span> </span>
<span id="cb9-16"><a href="#cb9-16" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb9-17"><a href="#cb9-17" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-18"><a href="#cb9-18" aria-hidden="true" tabindex="-1"></a>    <span class="co"># only integers allowed </span></span>
<span id="cb9-19"><a href="#cb9-19" aria-hidden="true" tabindex="-1"></a>    <span class="at">parlgov_id =</span> <span class="fu">as.integer</span>(parlgov_id),</span>
<span id="cb9-20"><a href="#cb9-20" aria-hidden="true" tabindex="-1"></a>    <span class="at">t =</span> <span class="fu">as.integer</span>(t),</span>
<span id="cb9-21"><a href="#cb9-21" aria-hidden="true" tabindex="-1"></a>    <span class="at">country =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(country_name)),</span>
<span id="cb9-22"><a href="#cb9-22" aria-hidden="true" tabindex="-1"></a>    <span class="at">family =</span> <span class="fu">unclass</span>(<span class="fu">as.factor</span>(family_name_short))</span>
<span id="cb9-23"><a href="#cb9-23" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-24"><a href="#cb9-24" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb9-25"><a href="#cb9-25" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-26"><a href="#cb9-26" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(</span>
<span id="cb9-27"><a href="#cb9-27" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-28"><a href="#cb9-28" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Covs</span></span>
<span id="cb9-29"><a href="#cb9-29" aria-hidden="true" tabindex="-1"></a>    parlgov_id, t, family, country, cabinet_party,</span>
<span id="cb9-30"><a href="#cb9-30" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-31"><a href="#cb9-31" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Treatments</span></span>
<span id="cb9-32"><a href="#cb9-32" aria-hidden="true" tabindex="-1"></a>    treat, treat_flood, treat_storm, treat_fire, treat_temp,</span>
<span id="cb9-33"><a href="#cb9-33" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-34"><a href="#cb9-34" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Outcome</span></span>
<span id="cb9-35"><a href="#cb9-35" aria-hidden="true" tabindex="-1"></a>    climate_prs, relief_prs, relief_words, pr_total</span>
<span id="cb9-36"><a href="#cb9-36" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-37"><a href="#cb9-37" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb9-38"><a href="#cb9-38" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-39"><a href="#cb9-39" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb9-40"><a href="#cb9-40" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-41"><a href="#cb9-41" aria-hidden="true" tabindex="-1"></a>    <span class="co"># relief</span></span>
<span id="cb9-42"><a href="#cb9-42" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome_relief =</span> relief_prs <span class="sc">/</span> pr_total,</span>
<span id="cb9-43"><a href="#cb9-43" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome_relief =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome_relief), <span class="dv">0</span>, outcome_relief),</span>
<span id="cb9-44"><a href="#cb9-44" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-45"><a href="#cb9-45" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome_relief_words =</span> relief_words,</span>
<span id="cb9-46"><a href="#cb9-46" aria-hidden="true" tabindex="-1"></a>    <span class="at">outcome_relief_words =</span> <span class="fu">ifelse</span>(<span class="fu">is.nan</span>(outcome_relief_words), <span class="dv">0</span>, outcome_relief_words)</span>
<span id="cb9-47"><a href="#cb9-47" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-48"><a href="#cb9-48" aria-hidden="true" tabindex="-1"></a>  ) <span class="sc">|&gt;</span> </span>
<span id="cb9-49"><a href="#cb9-49" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-50"><a href="#cb9-50" aria-hidden="true" tabindex="-1"></a>  <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb9-51"><a href="#cb9-51" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-52"><a href="#cb9-52" aria-hidden="true" tabindex="-1"></a>  <span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(parlgov_id)) </span>
<span id="cb9-53"><a href="#cb9-53" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-54"><a href="#cb9-54" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-55"><a href="#cb9-55" aria-hidden="true" tabindex="-1"></a><span class="co"># Globally define leads and lags, iterations</span></span>
<span id="cb9-56"><a href="#cb9-56" aria-hidden="true" tabindex="-1"></a>lag <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb9-57"><a href="#cb9-57" aria-hidden="true" tabindex="-1"></a>lead <span class="ot">&lt;-</span> <span class="dv">6</span></span>
<span id="cb9-58"><a href="#cb9-58" aria-hidden="true" tabindex="-1"></a>n_iterations <span class="ot">&lt;-</span> <span class="dv">1000</span></span>
<span id="cb9-59"><a href="#cb9-59" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-60"><a href="#cb9-60" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-61"><a href="#cb9-61" aria-hidden="true" tabindex="-1"></a><span class="co"># create empty tibble for data viz</span></span>
<span id="cb9-62"><a href="#cb9-62" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
<span id="cb9-63"><a href="#cb9-63" aria-hidden="true" tabindex="-1"></a>  <span class="at">coef =</span> <span class="fu">numeric</span>(), </span>
<span id="cb9-64"><a href="#cb9-64" aria-hidden="true" tabindex="-1"></a>  <span class="at">se =</span> <span class="fu">numeric</span>(),</span>
<span id="cb9-65"><a href="#cb9-65" aria-hidden="true" tabindex="-1"></a>  <span class="at">model =</span> <span class="fu">numeric</span>()</span>
<span id="cb9-66"><a href="#cb9-66" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb9-67"><a href="#cb9-67" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-68"><a href="#cb9-68" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-69"><a href="#cb9-69" aria-hidden="true" tabindex="-1"></a><span class="co"># LOOPS TO CREATE ONE GRAPH ACROSS ALL MODELS ----------------------------------</span></span>
<span id="cb9-70"><a href="#cb9-70" aria-hidden="true" tabindex="-1"></a>models <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Relief PRs&quot;</span>,</span>
<span id="cb9-71"><a href="#cb9-71" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Relief Words&quot;</span>)</span>
<span id="cb9-72"><a href="#cb9-72" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-73"><a href="#cb9-73" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (model <span class="cf">in</span> models) {</span>
<span id="cb9-74"><a href="#cb9-74" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Relief PRs&quot;</span>) {</span>
<span id="cb9-75"><a href="#cb9-75" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-76"><a href="#cb9-76" aria-hidden="true" tabindex="-1"></a>    PM.results <span class="ot">&lt;-</span> <span class="fu">PanelMatch</span>(<span class="at">lag =</span> lag, </span>
<span id="cb9-77"><a href="#cb9-77" aria-hidden="true" tabindex="-1"></a>                             <span class="at">lead =</span> <span class="dv">0</span><span class="sc">:</span>lead, </span>
<span id="cb9-78"><a href="#cb9-78" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.panelmatch,</span>
<span id="cb9-79"><a href="#cb9-79" aria-hidden="true" tabindex="-1"></a>                             <span class="at">time.id =</span> <span class="st">&quot;t&quot;</span>, </span>
<span id="cb9-80"><a href="#cb9-80" aria-hidden="true" tabindex="-1"></a>                             <span class="at">unit.id =</span> <span class="st">&quot;parlgov_id&quot;</span>,</span>
<span id="cb9-81"><a href="#cb9-81" aria-hidden="true" tabindex="-1"></a>                             <span class="at">treatment =</span> <span class="st">&quot;treat&quot;</span>, </span>
<span id="cb9-82"><a href="#cb9-82" aria-hidden="true" tabindex="-1"></a>                             <span class="at">outcome.var =</span> <span class="st">&quot;outcome_relief&quot;</span>,</span>
<span id="cb9-83"><a href="#cb9-83" aria-hidden="true" tabindex="-1"></a>                             <span class="at">match.missing =</span> <span class="cn">TRUE</span>,</span>
<span id="cb9-84"><a href="#cb9-84" aria-hidden="true" tabindex="-1"></a>                             <span class="at">refinement.method =</span> <span class="st">&quot;mahalanobis&quot;</span>,</span>
<span id="cb9-85"><a href="#cb9-85" aria-hidden="true" tabindex="-1"></a>                             <span class="at">covs.formula =</span> <span class="sc">~</span> <span class="fu">I</span>(<span class="fu">lag</span>(outcome_relief, <span class="dv">1</span><span class="sc">:</span>lead)),</span>
<span id="cb9-86"><a href="#cb9-86" aria-hidden="true" tabindex="-1"></a>                             <span class="at">exact.match.variables =</span> <span class="st">&quot;family&quot;</span>,</span>
<span id="cb9-87"><a href="#cb9-87" aria-hidden="true" tabindex="-1"></a>                             <span class="at">size.match =</span> <span class="dv">10</span>, </span>
<span id="cb9-88"><a href="#cb9-88" aria-hidden="true" tabindex="-1"></a>                             <span class="at">qoi =</span> <span class="st">&quot;att&quot;</span>,</span>
<span id="cb9-89"><a href="#cb9-89" aria-hidden="true" tabindex="-1"></a>                             <span class="at">forbid.treatment.reversal =</span> <span class="cn">FALSE</span>)</span>
<span id="cb9-90"><a href="#cb9-90" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-91"><a href="#cb9-91" aria-hidden="true" tabindex="-1"></a>  } <span class="cf">else</span> <span class="cf">if</span> (model <span class="sc">==</span> <span class="st">&quot;Relief Words&quot;</span>) {</span>
<span id="cb9-92"><a href="#cb9-92" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-93"><a href="#cb9-93" aria-hidden="true" tabindex="-1"></a>    PM.results <span class="ot">&lt;-</span> <span class="fu">PanelMatch</span>(<span class="at">lag =</span> lag, </span>
<span id="cb9-94"><a href="#cb9-94" aria-hidden="true" tabindex="-1"></a>                             <span class="at">lead =</span> <span class="dv">0</span><span class="sc">:</span>lead, </span>
<span id="cb9-95"><a href="#cb9-95" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.panelmatch,</span>
<span id="cb9-96"><a href="#cb9-96" aria-hidden="true" tabindex="-1"></a>                             <span class="at">time.id =</span> <span class="st">&quot;t&quot;</span>, </span>
<span id="cb9-97"><a href="#cb9-97" aria-hidden="true" tabindex="-1"></a>                             <span class="at">unit.id =</span> <span class="st">&quot;parlgov_id&quot;</span>,</span>
<span id="cb9-98"><a href="#cb9-98" aria-hidden="true" tabindex="-1"></a>                             <span class="at">treatment =</span> <span class="st">&quot;treat&quot;</span>, </span>
<span id="cb9-99"><a href="#cb9-99" aria-hidden="true" tabindex="-1"></a>                             <span class="at">outcome.var =</span> <span class="st">&quot;outcome_relief_words&quot;</span>,</span>
<span id="cb9-100"><a href="#cb9-100" aria-hidden="true" tabindex="-1"></a>                             <span class="at">match.missing =</span> <span class="cn">TRUE</span>,</span>
<span id="cb9-101"><a href="#cb9-101" aria-hidden="true" tabindex="-1"></a>                             <span class="at">refinement.method =</span> <span class="st">&quot;mahalanobis&quot;</span>,</span>
<span id="cb9-102"><a href="#cb9-102" aria-hidden="true" tabindex="-1"></a>                             <span class="at">covs.formula =</span> <span class="sc">~</span> <span class="fu">I</span>(<span class="fu">lag</span>(outcome_relief_words, <span class="dv">1</span><span class="sc">:</span>lead)),</span>
<span id="cb9-103"><a href="#cb9-103" aria-hidden="true" tabindex="-1"></a>                             <span class="at">exact.match.variables =</span> <span class="st">&quot;family&quot;</span>,</span>
<span id="cb9-104"><a href="#cb9-104" aria-hidden="true" tabindex="-1"></a>                             <span class="at">size.match =</span> <span class="dv">10</span>, </span>
<span id="cb9-105"><a href="#cb9-105" aria-hidden="true" tabindex="-1"></a>                             <span class="at">qoi =</span> <span class="st">&quot;att&quot;</span>,</span>
<span id="cb9-106"><a href="#cb9-106" aria-hidden="true" tabindex="-1"></a>                             <span class="at">forbid.treatment.reversal =</span> <span class="cn">FALSE</span>)</span>
<span id="cb9-107"><a href="#cb9-107" aria-hidden="true" tabindex="-1"></a>  }</span>
<span id="cb9-108"><a href="#cb9-108" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-109"><a href="#cb9-109" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-110"><a href="#cb9-110" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Treatment</span></span>
<span id="cb9-111"><a href="#cb9-111" aria-hidden="true" tabindex="-1"></a>  PE.treat <span class="ot">&lt;-</span> <span class="fu">PanelEstimate</span>(<span class="at">sets =</span> PM.results, </span>
<span id="cb9-112"><a href="#cb9-112" aria-hidden="true" tabindex="-1"></a>                            <span class="at">data =</span> df.panelmatch,</span>
<span id="cb9-113"><a href="#cb9-113" aria-hidden="true" tabindex="-1"></a>                            <span class="at">se.method =</span> <span class="st">&quot;bootstrap&quot;</span>,</span>
<span id="cb9-114"><a href="#cb9-114" aria-hidden="true" tabindex="-1"></a>                            <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb9-115"><a href="#cb9-115" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-116"><a href="#cb9-116" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Store Coefs and SEs</span></span>
<span id="cb9-117"><a href="#cb9-117" aria-hidden="true" tabindex="-1"></a>  gg.treat <span class="ot">&lt;-</span> <span class="fu">summary</span>(PE.treat, </span>
<span id="cb9-118"><a href="#cb9-118" aria-hidden="true" tabindex="-1"></a>                      <span class="at">verbose =</span> F, </span>
<span id="cb9-119"><a href="#cb9-119" aria-hidden="true" tabindex="-1"></a>                      <span class="at">bias.corrected =</span> F) <span class="sc">|&gt;</span> </span>
<span id="cb9-120"><a href="#cb9-120" aria-hidden="true" tabindex="-1"></a>    <span class="fu">as.data.frame</span>() <span class="sc">|&gt;</span> </span>
<span id="cb9-121"><a href="#cb9-121" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model,</span>
<span id="cb9-122"><a href="#cb9-122" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> <span class="dv">1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb9-123"><a href="#cb9-123" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">low_ci =</span> <span class="st">`</span><span class="at">2.5%</span><span class="st">`</span>,</span>
<span id="cb9-124"><a href="#cb9-124" aria-hidden="true" tabindex="-1"></a>           <span class="at">up_ci =</span> <span class="st">`</span><span class="at">97.5%</span><span class="st">`</span>) <span class="sc">|&gt;</span> </span>
<span id="cb9-125"><a href="#cb9-125" aria-hidden="true" tabindex="-1"></a>    <span class="fu">select</span>(<span class="sc">-</span>std.error)</span>
<span id="cb9-126"><a href="#cb9-126" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-127"><a href="#cb9-127" aria-hidden="true" tabindex="-1"></a>  <span class="do">## Placebo</span></span>
<span id="cb9-128"><a href="#cb9-128" aria-hidden="true" tabindex="-1"></a>  PE.placebo <span class="ot">&lt;-</span> <span class="fu">placebo_test</span>(PM.results, </span>
<span id="cb9-129"><a href="#cb9-129" aria-hidden="true" tabindex="-1"></a>                             <span class="at">data =</span> df.panelmatch, </span>
<span id="cb9-130"><a href="#cb9-130" aria-hidden="true" tabindex="-1"></a>                             <span class="at">number.iterations =</span> n_iterations)</span>
<span id="cb9-131"><a href="#cb9-131" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-132"><a href="#cb9-132" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo estimates  </span></span>
<span id="cb9-133"><a href="#cb9-133" aria-hidden="true" tabindex="-1"></a>  placebo_estimates <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb9-134"><a href="#cb9-134" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">row_number</span>() <span class="sc">-</span> (lead <span class="sc">+</span> <span class="dv">1</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb9-135"><a href="#cb9-135" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rename</span>(<span class="at">estimate =</span> value) </span>
<span id="cb9-136"><a href="#cb9-136" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-137"><a href="#cb9-137" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-138"><a href="#cb9-138" aria-hidden="true" tabindex="-1"></a>  <span class="co"># placebo CIs, percentiles from bootstrapping</span></span>
<span id="cb9-139"><a href="#cb9-139" aria-hidden="true" tabindex="-1"></a>  percentiles <span class="ot">&lt;-</span> PE.placebo<span class="sc">$</span>bootstrapped.estimates <span class="sc">|&gt;</span> <span class="fu">as_tibble</span>() <span class="sc">|&gt;</span> </span>
<span id="cb9-140"><a href="#cb9-140" aria-hidden="true" tabindex="-1"></a>    <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="fu">everything</span>(), <span class="sc">~</span> <span class="fu">quantile</span>(., <span class="at">probs =</span> <span class="fu">c</span>(<span class="fl">0.025</span>, <span class="fl">0.975</span>))))</span>
<span id="cb9-141"><a href="#cb9-141" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-142"><a href="#cb9-142" aria-hidden="true" tabindex="-1"></a>  percentiles_longer <span class="ot">&lt;-</span> percentiles <span class="sc">|&gt;</span> </span>
<span id="cb9-143"><a href="#cb9-143" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">quantile =</span> <span class="fu">row_number</span>(),</span>
<span id="cb9-144"><a href="#cb9-144" aria-hidden="true" tabindex="-1"></a>           <span class="at">quantile =</span> <span class="fu">case_when</span>(quantile <span class="sc">==</span> <span class="dv">1</span> <span class="sc">~</span> <span class="st">&quot;low_ci&quot;</span>,</span>
<span id="cb9-145"><a href="#cb9-145" aria-hidden="true" tabindex="-1"></a>                                quantile <span class="sc">==</span> <span class="dv">2</span> <span class="sc">~</span> <span class="st">&quot;up_ci&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb9-146"><a href="#cb9-146" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_longer</span>(<span class="at">cols =</span> <span class="fu">starts_with</span>(<span class="st">&quot;t-&quot;</span>), <span class="at">names_to =</span> <span class="st">&quot;period&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">%&gt;%</span></span>
<span id="cb9-147"><a href="#cb9-147" aria-hidden="true" tabindex="-1"></a>    <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">&quot;quantile&quot;</span>, <span class="at">values_from =</span> <span class="st">&quot;value&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb9-148"><a href="#cb9-148" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">period =</span> <span class="fu">substr</span>(period,<span class="dv">2</span>,<span class="dv">3</span>),</span>
<span id="cb9-149"><a href="#cb9-149" aria-hidden="true" tabindex="-1"></a>           <span class="at">period =</span> <span class="fu">as.numeric</span>(period))</span>
<span id="cb9-150"><a href="#cb9-150" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-151"><a href="#cb9-151" aria-hidden="true" tabindex="-1"></a>  <span class="co"># join placebo estimates and placebo CIs</span></span>
<span id="cb9-152"><a href="#cb9-152" aria-hidden="true" tabindex="-1"></a>  gg.placebo <span class="ot">&lt;-</span> <span class="fu">left_join</span>(placebo_estimates, percentiles_longer,</span>
<span id="cb9-153"><a href="#cb9-153" aria-hidden="true" tabindex="-1"></a>                          <span class="at">by =</span> <span class="st">&quot;period&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb9-154"><a href="#cb9-154" aria-hidden="true" tabindex="-1"></a>    <span class="fu">mutate</span>(<span class="at">model =</span> model)</span>
<span id="cb9-155"><a href="#cb9-155" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-156"><a href="#cb9-156" aria-hidden="true" tabindex="-1"></a>  <span class="co"># bind placebo to treatment</span></span>
<span id="cb9-157"><a href="#cb9-157" aria-hidden="true" tabindex="-1"></a>  gg.tmp <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.placebo, gg.treat)</span>
<span id="cb9-158"><a href="#cb9-158" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-159"><a href="#cb9-159" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Add to main viz DF</span></span>
<span id="cb9-160"><a href="#cb9-160" aria-hidden="true" tabindex="-1"></a>  gg.did <span class="ot">&lt;-</span> <span class="fu">rbind</span>(gg.did, gg.tmp)</span>
<span id="cb9-161"><a href="#cb9-161" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-162"><a href="#cb9-162" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb9-163"><a href="#cb9-163" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-164"><a href="#cb9-164" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-165"><a href="#cb9-165" aria-hidden="true" tabindex="-1"></a><span class="co"># PLOTS ------------------------------------------------------------------------</span></span>
<span id="cb9-166"><a href="#cb9-166" aria-hidden="true" tabindex="-1"></a><span class="co"># globally define settings</span></span>
<span id="cb9-167"><a href="#cb9-167" aria-hidden="true" tabindex="-1"></a>pre_color <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb9-168"><a href="#cb9-168" aria-hidden="true" tabindex="-1"></a>post_color <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb9-169"><a href="#cb9-169" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-170"><a href="#cb9-170" aria-hidden="true" tabindex="-1"></a>pre_fill <span class="ot">&lt;-</span> <span class="st">&quot;#4885C1&quot;</span></span>
<span id="cb9-171"><a href="#cb9-171" aria-hidden="true" tabindex="-1"></a>post_fill <span class="ot">&lt;-</span> <span class="st">&quot;#AE3A4E&quot;</span></span>
<span id="cb9-172"><a href="#cb9-172" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-173"><a href="#cb9-173" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-174"><a href="#cb9-174" aria-hidden="true" tabindex="-1"></a>pre_shape <span class="ot">&lt;-</span> <span class="dv">17</span></span>
<span id="cb9-175"><a href="#cb9-175" aria-hidden="true" tabindex="-1"></a>post_shape <span class="ot">&lt;-</span> <span class="dv">16</span></span>
<span id="cb9-176"><a href="#cb9-176" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-177"><a href="#cb9-177" aria-hidden="true" tabindex="-1"></a><span class="co"># create indicator</span></span>
<span id="cb9-178"><a href="#cb9-178" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb9-179"><a href="#cb9-179" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">pre =</span> <span class="fu">ifelse</span>(period <span class="sc">&lt;</span> <span class="dv">0</span>, <span class="st">&quot;pre&quot;</span>, <span class="st">&quot;post&quot;</span>))</span>
<span id="cb9-180"><a href="#cb9-180" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-181"><a href="#cb9-181" aria-hidden="true" tabindex="-1"></a><span class="co"># reorder</span></span>
<span id="cb9-182"><a href="#cb9-182" aria-hidden="true" tabindex="-1"></a>gg.did<span class="sc">$</span>model <span class="ot">&lt;-</span> <span class="fu">factor</span>(gg.did<span class="sc">$</span>model, <span class="at">levels =</span> models) </span>
<span id="cb9-183"><a href="#cb9-183" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-184"><a href="#cb9-184" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-185"><a href="#cb9-185" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-186"><a href="#cb9-186" aria-hidden="true" tabindex="-1"></a><span class="co"># Store it so don&#39;t have to bootstrap every time anew</span></span>
<span id="cb9-187"><a href="#cb9-187" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(gg.did,</span>
<span id="cb9-188"><a href="#cb9-188" aria-hidden="true" tabindex="-1"></a>          <span class="at">file =</span> <span class="fu">here</span>(<span class="st">&quot;data/data_output/ggdid_dic_relief.csv&quot;</span>))</span>
<span id="cb9-189"><a href="#cb9-189" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-190"><a href="#cb9-190" aria-hidden="true" tabindex="-1"></a><span class="co"># pick back up</span></span>
<span id="cb9-191"><a href="#cb9-191" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="fu">here</span>(<span class="st">&quot;data/data_output/ggdid_dic_relief.csv&quot;</span>))</span>
<span id="cb9-192"><a href="#cb9-192" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-193"><a href="#cb9-193" aria-hidden="true" tabindex="-1"></a><span class="co"># data wrangling for plot</span></span>
<span id="cb9-194"><a href="#cb9-194" aria-hidden="true" tabindex="-1"></a>gg.did <span class="ot">&lt;-</span> gg.did <span class="sc">|&gt;</span> </span>
<span id="cb9-195"><a href="#cb9-195" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(</span>
<span id="cb9-196"><a href="#cb9-196" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb9-197"><a href="#cb9-197" aria-hidden="true" tabindex="-1"></a>    <span class="co"># make it percentage points</span></span>
<span id="cb9-198"><a href="#cb9-198" aria-hidden="true" tabindex="-1"></a>    <span class="at">estimate =</span> estimate <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb9-199"><a href="#cb9-199" aria-hidden="true" tabindex="-1"></a>    <span class="at">low_ci =</span> low_ci <span class="sc">*</span> <span class="dv">100</span>, </span>
<span id="cb9-200"><a href="#cb9-200" aria-hidden="true" tabindex="-1"></a>    <span class="at">up_ci =</span> up_ci <span class="sc">*</span> <span class="dv">100</span></span>
<span id="cb9-201"><a href="#cb9-201" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb9-202"><a href="#cb9-202" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-203"><a href="#cb9-203" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-204"><a href="#cb9-204" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-205"><a href="#cb9-205" aria-hidden="true" tabindex="-1"></a>gg.did <span class="sc">|&gt;</span> </span>
<span id="cb9-206"><a href="#cb9-206" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb9-207"><a href="#cb9-207" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-208"><a href="#cb9-208" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Gray pre treatment shade</span></span>
<span id="cb9-209"><a href="#cb9-209" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_rect</span>(<span class="fu">aes</span>(<span class="at">xmin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">xmax =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">ymin =</span> <span class="sc">-</span><span class="cn">Inf</span>, <span class="at">ymax =</span> <span class="cn">Inf</span>),</span>
<span id="cb9-210"><a href="#cb9-210" aria-hidden="true" tabindex="-1"></a>            <span class="at">fill =</span> <span class="st">&quot;#e0e0e0&quot;</span>, <span class="at">alpha =</span> <span class="fl">0.2</span>) <span class="sc">+</span></span>
<span id="cb9-211"><a href="#cb9-211" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-212"><a href="#cb9-212" aria-hidden="true" tabindex="-1"></a>  <span class="co"># CIs</span></span>
<span id="cb9-213"><a href="#cb9-213" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_linerange</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">ymin =</span> low_ci, <span class="at">ymax =</span> up_ci, <span class="at">color =</span> pre),</span>
<span id="cb9-214"><a href="#cb9-214" aria-hidden="true" tabindex="-1"></a>                 <span class="at">alpha =</span> .<span class="dv">7</span>,</span>
<span id="cb9-215"><a href="#cb9-215" aria-hidden="true" tabindex="-1"></a>                 <span class="at">linewidth =</span> <span class="fl">0.75</span>) <span class="sc">+</span> </span>
<span id="cb9-216"><a href="#cb9-216" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-217"><a href="#cb9-217" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Coef</span></span>
<span id="cb9-218"><a href="#cb9-218" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">x =</span> period, <span class="at">y =</span> estimate, <span class="at">shape =</span> pre, <span class="at">color =</span> pre),</span>
<span id="cb9-219"><a href="#cb9-219" aria-hidden="true" tabindex="-1"></a>             <span class="at">size =</span> <span class="dv">3</span>) <span class="sc">+</span> </span>
<span id="cb9-220"><a href="#cb9-220" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-221"><a href="#cb9-221" aria-hidden="true" tabindex="-1"></a>  <span class="co"># fixed lines</span></span>
<span id="cb9-222"><a href="#cb9-222" aria-hidden="true" tabindex="-1"></a>  <span class="fu">geom_hline</span>(<span class="at">yintercept =</span> <span class="dv">0</span>, <span class="at">linetype =</span> <span class="st">&#39;dotted&#39;</span>) <span class="sc">+</span> </span>
<span id="cb9-223"><a href="#cb9-223" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-224"><a href="#cb9-224" aria-hidden="true" tabindex="-1"></a>  <span class="co"># look</span></span>
<span id="cb9-225"><a href="#cb9-225" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ylab</span>(<span class="st">&quot;&quot;</span>) <span class="sc">+</span></span>
<span id="cb9-226"><a href="#cb9-226" aria-hidden="true" tabindex="-1"></a>  <span class="fu">xlab</span>(<span class="st">&quot;Weeks relative to extreme weather event&quot;</span>) <span class="sc">+</span> </span>
<span id="cb9-227"><a href="#cb9-227" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_x_continuous</span>(<span class="at">breaks =</span> gg.did<span class="sc">$</span>period, <span class="at">labels =</span> gg.did<span class="sc">$</span>period) <span class="sc">+</span></span>
<span id="cb9-228"><a href="#cb9-228" aria-hidden="true" tabindex="-1"></a>  <span class="fu">facet_wrap</span>(<span class="sc">~</span> model, </span>
<span id="cb9-229"><a href="#cb9-229" aria-hidden="true" tabindex="-1"></a>             <span class="at">scales =</span> <span class="st">&quot;free&quot;</span>, </span>
<span id="cb9-230"><a href="#cb9-230" aria-hidden="true" tabindex="-1"></a>             <span class="at">ncol =</span> <span class="dv">2</span>) <span class="sc">+</span></span>
<span id="cb9-231"><a href="#cb9-231" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_color,</span>
<span id="cb9-232"><a href="#cb9-232" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_color)) <span class="sc">+</span></span>
<span id="cb9-233"><a href="#cb9-233" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_shape_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_shape, </span>
<span id="cb9-234"><a href="#cb9-234" aria-hidden="true" tabindex="-1"></a>                                <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_shape)) <span class="sc">+</span></span>
<span id="cb9-235"><a href="#cb9-235" aria-hidden="true" tabindex="-1"></a>  <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">&quot;pre&quot;</span> <span class="ot">=</span> pre_fill, </span>
<span id="cb9-236"><a href="#cb9-236" aria-hidden="true" tabindex="-1"></a>                               <span class="st">&quot;post&quot;</span> <span class="ot">=</span> post_fill)) <span class="sc">+</span></span>
<span id="cb9-237"><a href="#cb9-237" aria-hidden="true" tabindex="-1"></a>  <span class="fu">guides</span>(<span class="at">shape =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb9-238"><a href="#cb9-238" aria-hidden="true" tabindex="-1"></a>         <span class="at">fill =</span> <span class="st">&quot;none&quot;</span>,</span>
<span id="cb9-239"><a href="#cb9-239" aria-hidden="true" tabindex="-1"></a>         <span class="at">color =</span> <span class="st">&quot;none&quot;</span>) <span class="sc">+</span></span>
<span id="cb9-240"><a href="#cb9-240" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-241"><a href="#cb9-241" aria-hidden="true" tabindex="-1"></a>  <span class="co"># theme</span></span>
<span id="cb9-242"><a href="#cb9-242" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme_bw</span>() <span class="sc">+</span></span>
<span id="cb9-243"><a href="#cb9-243" aria-hidden="true" tabindex="-1"></a>  <span class="fu">theme</span>(<span class="at">panel.grid =</span> <span class="fu">element_blank</span>(),</span>
<span id="cb9-244"><a href="#cb9-244" aria-hidden="true" tabindex="-1"></a>        <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>)) </span>
<span id="cb9-245"><a href="#cb9-245" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-246"><a href="#cb9-246" aria-hidden="true" tabindex="-1"></a>  </span>
<span id="cb9-247"><a href="#cb9-247" aria-hidden="true" tabindex="-1"></a><span class="co"># Export</span></span>
<span id="cb9-248"><a href="#cb9-248" aria-hidden="true" tabindex="-1"></a><span class="fu">ggsave</span>(<span class="fu">here</span>(<span class="st">&quot;results/graphs/fig_ex_data_05.pdf&quot;</span>),</span>
<span id="cb9-249"><a href="#cb9-249" aria-hidden="true" tabindex="-1"></a>       <span class="at">width =</span> <span class="dv">10</span>,</span>
<span id="cb9-250"><a href="#cb9-250" aria-hidden="true" tabindex="-1"></a>       <span class="at">height =</span> <span class="dv">5</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
</section>
<section id="r-session-info" class="level1">
<h1>R session info</h1>
<div class="cell">
<div class="cell-output cell-output-stderr">
<pre><code>Loading required package: pacman</code></pre>
</div>
<div class="cell-output cell-output-stdout">
<pre><code>─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.3.1 (2023-06-16)
 os       macOS Sonoma 14.4.1
 system   aarch64, darwin20
 ui       X11
 language (EN)
 collate  en_US.UTF-8
 ctype    en_US.UTF-8
 tz       Europe/Berlin
 date     2024-04-26
 pandoc   3.1.1 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)

─ Packages ───────────────────────────────────────────────────────────────────
 package     * version    date (UTC) lib source
 abind         1.4-5      2016-07-21 [1] CRAN (R 4.3.0)
 backports     1.4.1      2021-12-13 [1] CRAN (R 4.3.0)
 broom       * 1.0.5      2023-06-09 [1] CRAN (R 4.3.0)
 car           3.1-2      2023-03-30 [1] CRAN (R 4.3.0)
 carData       3.0-5      2022-01-06 [1] CRAN (R 4.3.0)
 CBPS          0.23       2022-01-18 [1] CRAN (R 4.3.0)
 cli           3.6.1      2023-03-23 [1] CRAN (R 4.3.0)
 codetools     0.2-19     2023-02-01 [1] CRAN (R 4.3.1)
 colorspace    2.1-0      2023-01-23 [1] CRAN (R 4.3.0)
 cowplot     * 1.1.1      2020-12-30 [1] CRAN (R 4.3.0)
 data.table    1.14.8     2023-02-17 [1] CRAN (R 4.3.0)
 digest        0.6.33     2023-07-07 [1] CRAN (R 4.3.0)
 dplyr       * 1.1.2      2023-04-20 [1] CRAN (R 4.3.0)
 dreamerr      1.4.0      2023-12-21 [1] CRAN (R 4.3.1)
 evaluate      0.21       2023-05-05 [1] CRAN (R 4.3.0)
 fansi         1.0.4      2023-01-22 [1] CRAN (R 4.3.0)
 fastmap       1.1.1      2023-02-24 [1] CRAN (R 4.3.0)
 fixest      * 0.11.2     2023-11-24 [1] CRAN (R 4.3.1)
 forcats     * 1.0.0      2023-01-29 [1] CRAN (R 4.3.0)
 foreach       1.5.2      2022-02-02 [1] CRAN (R 4.3.0)
 Formula       1.2-5      2023-02-24 [1] CRAN (R 4.3.0)
 generics      0.1.3      2022-07-05 [1] CRAN (R 4.3.0)
 ggplot2     * 3.5.0      2024-02-23 [1] CRAN (R 4.3.1)
 ggpubr      * 0.6.0      2023-02-10 [1] CRAN (R 4.3.0)
 ggrepel     * 0.9.3      2023-02-03 [1] CRAN (R 4.3.0)
 ggsignif      0.6.4      2022-10-13 [1] CRAN (R 4.3.0)
 glmnet        4.1-8      2023-08-22 [1] CRAN (R 4.3.0)
 glue          1.6.2      2022-02-24 [1] CRAN (R 4.3.0)
 gridExtra     2.3        2017-09-09 [1] CRAN (R 4.3.0)
 gtable        0.3.3      2023-03-21 [1] CRAN (R 4.3.0)
 here        * 1.0.1      2020-12-13 [1] CRAN (R 4.3.0)
 hms           1.1.3      2023-03-21 [1] CRAN (R 4.3.0)
 htmltools     0.5.6      2023-08-10 [1] CRAN (R 4.3.0)
 iterators     1.0.14     2022-02-05 [1] CRAN (R 4.3.0)
 jsonlite      1.8.7      2023-06-29 [1] CRAN (R 4.3.0)
 knitr         1.43       2023-05-25 [1] CRAN (R 4.3.0)
 lattice       0.21-8     2023-04-05 [1] CRAN (R 4.3.1)
 lifecycle     1.0.3      2022-10-07 [1] CRAN (R 4.3.0)
 lubridate   * 1.9.2      2023-02-10 [1] CRAN (R 4.3.0)
 magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.3.0)
 MASS          7.3-60     2023-05-04 [1] CRAN (R 4.3.1)
 MatchIt       4.5.4      2023-06-14 [1] CRAN (R 4.3.0)
 Matrix        1.6-1      2023-08-14 [1] CRAN (R 4.3.0)
 munsell       0.5.0      2018-06-12 [1] CRAN (R 4.3.0)
 nlme          3.1-162    2023-01-31 [1] CRAN (R 4.3.1)
 nnet          7.3-19     2023-05-03 [1] CRAN (R 4.3.1)
 numDeriv      2016.8-1.1 2019-06-06 [1] CRAN (R 4.3.0)
 pacman      * 0.5.1      2019-03-11 [1] CRAN (R 4.3.0)
 PanelMatch  * 2.0.1      2022-06-26 [1] CRAN (R 4.3.0)
 panelView   * 1.1.16     2023-02-14 [1] CRAN (R 4.3.0)
 pillar        1.9.0      2023-03-22 [1] CRAN (R 4.3.0)
 pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.3.0)
 purrr       * 1.0.2      2023-08-10 [1] CRAN (R 4.3.0)
 R6            2.5.1      2021-08-19 [1] CRAN (R 4.3.0)
 Rcpp          1.0.11     2023-07-06 [1] CRAN (R 4.3.0)
 readr       * 2.1.4      2023-02-10 [1] CRAN (R 4.3.0)
 rlang         1.1.1      2023-04-28 [1] CRAN (R 4.3.0)
 rmarkdown     2.24       2023-08-14 [1] CRAN (R 4.3.0)
 rprojroot     2.0.3      2022-04-02 [1] CRAN (R 4.3.0)
 rstatix       0.7.2      2023-02-01 [1] CRAN (R 4.3.0)
 rstudioapi    0.15.0     2023-07-07 [1] CRAN (R 4.3.0)
 sandwich      3.1-0      2023-12-11 [1] CRAN (R 4.3.1)
 scales        1.3.0      2023-11-28 [1] CRAN (R 4.3.1)
 sessioninfo * 1.2.2      2021-12-06 [1] CRAN (R 4.3.0)
 shape         1.4.6      2021-05-19 [1] CRAN (R 4.3.0)
 stringi     * 1.7.12     2023-01-11 [1] CRAN (R 4.3.0)
 stringr     * 1.5.0      2022-12-02 [1] CRAN (R 4.3.0)
 survival      3.5-5      2023-03-12 [1] CRAN (R 4.3.1)
 tibble      * 3.2.1      2023-03-20 [1] CRAN (R 4.3.0)
 tidyr       * 1.3.0      2023-01-24 [1] CRAN (R 4.3.0)
 tidyselect    1.2.0      2022-10-10 [1] CRAN (R 4.3.0)
 tidyverse   * 2.0.0      2023-02-22 [1] CRAN (R 4.3.0)
 timechange    0.2.0      2023-01-11 [1] CRAN (R 4.3.0)
 tzdb          0.4.0      2023-05-12 [1] CRAN (R 4.3.0)
 utf8          1.2.3      2023-01-31 [1] CRAN (R 4.3.0)
 vctrs         0.6.3      2023-06-14 [1] CRAN (R 4.3.0)
 withr         2.5.0      2022-03-03 [1] CRAN (R 4.3.0)
 xfun          0.40       2023-08-09 [1] CRAN (R 4.3.0)
 yaml          2.3.7      2023-01-23 [1] CRAN (R 4.3.0)
 zoo           1.8-12     2023-04-13 [1] CRAN (R 4.3.0)

 [1] /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library

──────────────────────────────────────────────────────────────────────────────</code></pre>
</div>
</div>

</section>

<div id="quarto-appendix" class="default"><section class="quarto-appendix-contents" role="doc-bibliography"><h2 class="anchored quarto-appendix-heading">References</h2><div id="refs" class="references csl-bib-body hanging-indent" role="list">
<div id="ref-baumgartner_comparative_2019" class="csl-entry" role="listitem">
Baumgartner, Frank R., Christian Breunig, and Emiliano G Grossman. 2019. <span>“Comparative <span>Policy</span> <span>Agendas</span>: <span>Theory</span>, <span>Tools</span>, <span>Data</span>.”</span>
</div>
<div id="ref-devlin_bert_2019" class="csl-entry" role="listitem">
Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. <span>“<span>BERT</span>: <span>Pre</span>-Training of <span>Deep</span> <span>Bidirectional</span> <span>Transformers</span> for <span>Language</span> <span>Understanding</span>.”</span> arXiv. <a href="https://doi.org/10.48550/arXiv.1810.04805">https://doi.org/10.48550/arXiv.1810.04805</a>.
</div>
<div id="ref-erfort_partypress_2023" class="csl-entry" role="listitem">
Erfort, Cornelius, Lukas F. Stoetzer, and Heike Klüver. 2023. <span>“The <span>PARTYPRESS</span> <span>Database</span>: <span>A</span> New Comparative Database of Parties’ Press Releases.”</span> <em>Research &amp; Politics</em> 10 (3). <a href="https://doi.org/10.1177/20531680231183512">https://doi.org/10.1177/20531680231183512</a>.
</div>
<div id="ref-widmann_politicians_2023" class="csl-entry" role="listitem">
Widmann, Tobias. 2024. <span>“Do Politicians Appeal to Discrete Emotions? The Effect of Wind Turbine Construction on Elite Discourse.”</span> <em>Journal of Politics</em> (forthcoming).
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</script>
</div> <!-- /content -->



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